Anthony Robbins 2.1 Serial Key Crack

Posted on  by

Robbins examines the current financial conditions through facts, figures & patterns to help you understand the market's fluctuations. Unshakeable by Tony Robbins [Book Summary & PDF] Home » Blog » Book Summaries » Unshakeable by Tony Robbins [Book Summary & PDF] Tweet 8. A key point to note: When any market falls by at least 10% from.

  1. Crack key activation code mac nitro pdf professional 6 serial key activation code pdf. 6 nitro 6 keygen nitro pdf professional licence code key serial nitro pdf 7.
  2. 1) Unpack and install 2) Use the key generator to generate a valid serial 3) Enjoy this release! Don't Forget to buy the program.
Cold Spring Harb Perspect Med. 2012 Nov; 2(11): a011940.
PMID: 23125204
This article has been cited by other articles in PMC.

Abstract

Epidemiological studies have revealed striking associations between several distinct behavioral/personality traits and drug addiction, with a large emphasis on the sensation-seeking trait and the associated impulsive dimension of personality. However, in human studies, it is difficult to identify whether personality/behavioral traits actually contribute to increased vulnerability to drug addiction or reflect psychobiological adaptations to chronic drug exposure. Here we show how animal models, including the first multi-symptomatic model of addiction in the rat, have contributed to a better understanding of the relationships between different subdimensions of the sensation-seeking trait and different stages of the development of cocaine addiction, from vulnerability to initiation of cocaine self-administration to the transition to compulsive drug intake. We argue that sensation seeking predicts vulnerability to use cocaine, whereas novelty seeking, akin to high impulsivity, predicts instead vulnerability to shift from controlled to compulsive cocaine use, that is, addiction.

Drug addiction is a chronic relapsing disorder characterized by loss of control over drug seeking and drug taking, and maintained drug use despite adverse consequences (American Psychiatric Association 2000). Drug addiction, which is also manifested by a powerful craving for the drug, occurs mainly after a prolonged history of drug use and in 20%–40% of users, depending on the drug (Anthony et al. 1994; ). Drug addiction is a complex brain disorder () associated with dysfunctions in the motivational (), emotional (), learning (; ), and behavioral control systems (; ; , ).

Despite almost five decades of experimental research, both the etiology and the pathophysiology of drug addiction remain largely unknown, resulting in a relative limitation in available effective treatments, especially for stimulant addiction (). This apparent failure consolidates our opinion that most experimental strategies based on a narrow drug-induced neuroadaptational view may lead to impasse (; ; Deroche-Gamonet and Piazza 2010; Belin and Dalley 2012). Indeed, drug addiction is not a mere problem of drug exposure, as it is modeled in most preclinical studies, even based on a so-called gold-standard self-administration procedure. Rather, the predisposition to drug addiction results from the interaction of many different factors, including a vulnerable phenotype or personality, the drug, and the environment.

Serial Key Crack Keygen

Keeping that in mind, we think, however, that three main obstacles, relevant for experimental psychopathology in general, could have contributed to hinder our ability to decipher the pathophysiological mechanisms of drug addiction. The main one was related to the unavailability, until recently, of animal models of this complex disorder with heuristic value with regard to its clinical definition. The second obstacle is related to a mechanistic group average-based experimental approach, which did not consider interindividual differences, a critical feature of the development of addiction, namely, that the drug is not the etiological factor of addiction. All drug users do not face the same individual risk of developing addiction, and individual vulnerabilities should lie at the core of a pertinent experimental approach. Intimately related to the previous ones, the last limitation implies theoretical considerations in that, over the last decades, psychobiological theories of addiction have been developed mostly on the basis of drug-induced behavioral and neurobiological adaptations. However, despite the growing body of evidence that drug use is associated with, and involves, countless psychopharmacological and neurobiological alterations throughout the brain, drug use is far from reflecting drug addiction, thereby impeding the understanding of the effective role, if there is any, of these adaptations in the addiction process.

A decisive step would therefore be to identify the psychobiological substrates specific of those vulnerable users shifting from controlled recreational drug use to addiction, as compared with those who do not shift. The question of vulnerabilities is then probably one of the keys to our ability to understand the physiopathology, or should we say, the physiopathologies of addictions (), another aspect of this psychiatric disorder that has tended to be forgotten. Indeed, the apparent unified view of drug addiction, at the core of both the clinical definitions and the psychobiological theories of addiction (; ), has greatly impacted experimental research, thereby promoting a general wisdom that addiction must be underpinned by alterations of the mesolimbic function because it is a final neurobiological pathway to the effects of all addictive drugs. However, despite a common clinical table and common drug-induced adaptations, distinct physiopathological mechanisms may be involved in the development of addiction, depending not only on drug classes (), but also on the motivation to initiate drug use () and hence individuals’ personalities.

Several distinct personality traits, including sensation seeking, anxiety, and impulsivity, have been repeatedly associated with drug addiction (; ; , ; ; ; , ; ). Major differences, however, have been identified in the distribution of these traits and their magnitude in various populations of drug addicts, especially between cocaine, heroin, and alcohol users (; ). Drug addicts also exhibit several distinct comorbid psychiatric disorders (; ; ; ) and behavioral or cognitive deficits (; , , ; ; ; ; ). These differences suggest either that chronic exposure to different drugs alters predominantly different facets of personality or instead that different personality profiles may facilitate the choice of a certain drug and/or the transition to drug addiction once drug use has been initiated. This implies that vulnerability to drug use and vulnerability to addiction would depend on at least partly dissociable phenotypes (; Deroche-Gamonet and Piazza 2010).

These aforementioned distinctions are not easily accessible to experimental testing in humans, not least because epidemiological studies rely on correlational associations, but also because well-controlled longitudinal studies are technically and financially extremely demanding over a period of 20 years. Additionally, the pertinence of epidemiological studies strongly relies on the homogeneity of the studied population. Now, as preclinical research did, epidemiological studies have tended to combine increased drug use and abuse with drug addiction. In addition, the pure addict population, in particular in the context of illicit drugs, is versatile. Therefore, studied populations are often heterogeneous—mixing use, misuse, abuse, and addiction. It is then difficult to identify whether personality/behavioral traits actually contribute to increased vulnerability to drug addiction () or whether chronic drug exposure triggers the emergence of psychiatric comorbidities or personality/behavioral traits (for discussion, see ). There is nevertheless emerging evidence from well-controlled sibling studies () that family-based investigations may provide better insights into endophenotypes of drug addiction. However, these do not necessarily help us to discern factors of vulnerability to initiate drug use from factors of vulnerability to switch from controlled to compulsive drug use. Thus, both epidemiological and preclinical studies yet have to answer the issue of the existence of different vulnerable factors involved in the different phases of the addiction process—namely, use, abuse, and addiction.

Therefore, the role of animal models is pivotal in the understanding of the dynamics of the etiological process because they allow us to dissociate the preexisting phenotypes from drug-induced adaptations for each stage of the drug exposure history. Altogether, to date, animal models provide a valuable means to investigate the different stages of the drug addiction cycle, including especially the initiation of drug taking; the maintenance phase, which is often accompanied by bouts of drug bingeing and escalation; and, finally, the switch to compulsive drug intake, defined operationally by an increased motivation to take the drug, an inability to inhibit drug seeking, and continued drug use despite negative or adverse consequences. In this context, the most recent preparation is a multi-symptomatic model of addiction that uniquely allows studying processes underlying interindividual vulnerability to shift from controlled to compulsive drug use (; , , ,b; ; Belin and Dalley 2012).

In this article, we focus on cocaine addiction for three main reasons. First, models of addiction—in particular, the multi-symptomatic, so-called, 3-criteria model—have been developed for cocaine. Although researchers are currently involved in producing models of compulsive drug use for drugs of other classes, none are currently available and as validated as the ones for cocaine. Second, there is an important increase in cocaine consumption all over the world and in particular in young Europeans (WHO 2004; European Monitoring Centre for Drugs and Drug Addiction 2009; ). And last, but not least, cocaine addiction is one of the poorest addictions in terms of available therapies, including substitutive ones.

With regard to individual vulnerability, we focus on the contribution of preclinical studies to our understanding of the possible role of behavioral/personality traits in the addiction process with a large emphasis on responses to novelty and risk. The case of novelty responses is one of the best documented and exemplary in several aspects.

VULNERABILITY TO DRUG ADDICTION: CONTRIBUTING FACTORS

There is a general wisdom that vulnerability to psychopathology results from complex interactions over prolonged periods of time. If addiction responds to this general agreement, still little is known regarding the factors involved in the vulnerability to develop this psychiatric disorder. An old dyadic model () combined predisposing factors, that is, hereditary or acquired susceptibility, and precipitating factors, namely, drug and environment (drug availability, community or societal tolerance, peer and family domains, etc.). This model had the interest of clearly evoking vulnerability through predisposition and introduced a dual, almost functional, dissociation into individual-related factors and external factors that placed the individual at the core of vulnerability. A triadic model has since then been consensually established. Whatever the view—psychodynamic, psychosocial, psychiatric, or neuroadaptive—vulnerability to drug addiction is suggested to result from the interaction between a vulnerable phenotype or personality (being the interaction between genetics and history), the drug, and the environment. Genetic, especially twin, studies have revealed that genetic factors may account for 40% of the vulnerability to drug addiction (for review, see Koob and Moal 2005), thereby leaving a pivotal role to history, hence personality, and the iatrogenic effects of the substance.

The Vulnerable Phenotype(s) and Drug(s)

Serial key for adobe cs3. Drug addiction is associated with numerous distinct behavioral/personality traits, psychiatric comorbidities, and behavioral and cognitive deficits. It is largely unknown whether these behavioral deficits, personality traits, and psychiatric disorders contribute to addiction or are simple consequences of drug use. It can also be questioned whether they are vulnerability markers either for distinct phases of the addiction process or for addiction to different classes of drugs. Finally, they could also be vulnerability markers for distinct etiological/neurobiological mechanisms of the same addictive process.

Besides their disinterest for alternative sources of reinforcement and their focus on the drug, drug addicts can indeed be characterized by several behavioral and cognitive deficits including impaired inhibitory control (; ; ; ; , ), decision making (; ; ; ; ; ), and insight (; ; ).

Several distinct personality traits, including sensation seeking, anxiety, and impulsivity, are also associated with addiction (; ; ; ; ; ; ; ; ; ; ; ). Not only are these associations highly heterogeneous within the same drug addict population, with one subset showing high anxiety and others showing high impulsive/sensation-seeking traits (), but they also depend greatly on the substance used. Indeed, although both cocaine and heroin addicts show increased levels of sensation seeking (; ; ), anxiety (), and impulsivity (; ; ; ; ; , ), heroin addicts show greater anxiety sensitivity than cocaine addicts do (), whereas the latter display higher impulsivity (; ; ). Additionally, some personality traits or psychiatric disorders are more specifically associated with vulnerability to use (; ; ; ) or to addiction (), thereby rendering even more complex the relationships between personality traits and the etiology of drug addictions.

According to the psychodynamic view of addiction, it is therefore possible that heroin and cocaine users may self-medicate different personality characteristics or affective states (; , , ; ), with impulsivity being preferentially self-medicated by cocaine use (, ). Anyway, the relative contribution of a behavioral trait to the choice of a drug does not necessarily predict its implication in the transition to compulsive drug use.

The Environment

There is compelling evidence that life experiences and environments highly influence the effects of drugs of abuse and play a critical role in the transition from controlled to compulsive drug use (; Batts et al. 2005). However, one must be cautious, because the term environment is often used confusingly. For instance, drug addiction seems to be more frequent in people both living in degraded areas and undergoing difficult experiences during their childhood. In the former, environmental conditions can refer to drug availability, peer pressure, societal tolerance, and/or negative family relationships. Accordingly, positive family relationships, friendships, involvement, and attachment appear somehow to protect against the development of drug addiction (; ). In the latter, environmental influences are exercised at critical developmental phases (perinatal, adolescence) and may alter one’s personality and psychobiological construction so that he becomes more vulnerable to use or abuse drugs (). It remains to be proven that the two types of environmental conditions play the same kind of influence. The first one may be more a permissive/precipitating factor than an actual factor contributing to establish sustained drug use (; ) or promote transition to compulsive drug use, as could be the second one.

Vulnerability to Addiction: The Result of Complex Interactions

Although we are gaining increasing insights into the nature of the factors contributing to addiction, our knowledge regarding the functional nature of their contribution remains limited. Why then? Interactions between factors contributing to the vulnerability to addiction are considered to be complex. However, complexity of addiction itself has probably been underestimated in two major domains:

  1. The same clinical diagnosis does not necessary imply the same physiopathology and etiology. A unitary view governs all current clinical definitions and theories of addiction. Although addicts share a common clinical definition, underlying mechanisms could be of different kinds. The clinical definitions propose seven criteria, and a positive diagnosis is given when the patient shows three of them over a period of 12 months preceding the interview. Therefore, the same diagnosis, that is, addiction, does not necessarily depend on the same clinical table between two patients. These interindividual differences reflected in differential combination of symptoms within the same diagnosis should be better considered in clinical practice and experimental research. This could even be best evidenced when considering distinct classes of drugs, although it remains questionable whether drug specificities are preexisting differences or drug-induced ones.

  2. Addiction is a multistep pathology (; Belin et al. 2011b). We know, from its natural history, that the pathology progresses from use to addiction through regular use or abuse. Attempts to quit, that is, withdrawal periods, are unsuccessful in the great majority of addicts and define the relapsing nature of addiction. Different kinds of factors and mechanisms of vulnerability could be involved in the transition from one stage of the pathology to the other, but also within the same stage. This is particularly easy to conceive for relapse. Different relapsing factors have been identified, namely, stress, drug-associated conditioned stimuli, and small amounts of drug (; ). Preclinical models of relapse, that is, reinstatement models, allowed evidencing distinct neurobiological mechanisms involved for the three types of factors, providing numerous sources for mechanisms of vulnerability (; ).

Anthony Robbins 2.1 Serial Key Crack Full

Considering this, our current view of vulnerability could be distorted. According to the literature, genetic (hereditary) factors may contribute up to 40% to the development of drug addiction (). This estimation gives genetic factors a rather limited contribution to the vulnerability to drug addiction, but does it necessarily imply that the drug and the environment are keys for vulnerability? The respective weight of genetic and environmental factors in vulnerability could finally be a function of the phase of the addictive process. In addition, the genetic contribution to vulnerability could be an indirect one. It could define an increased vulnerability to detrimental environmental factors as suggested by the growing literature on the role of gene–environment interactions (; , ).

In summary, a lot is known regarding factors associated with addiction. Little is known, however, regarding the factors and mechanisms involved specifically in the vulnerability to develop drug addiction. Data strongly suggest that vulnerability to addiction is specific and distinct from vulnerabilities to use and abuse. In addition, vulnerability to addiction could be plural because several subpopulations may exist within drug addicts.

ANIMAL MODELS OF DRUG VULNERABILITY

In the context of vulnerability, animal models are determinant because they allow, within well-controlled longitudinal studies, dissociating preexisting phenotypes from drug-induced adaptations (; , ; ; Belin and Dalley 2012). This has proven very useful for a better understanding of endophenotypes of individual vulnerability to drug addiction, such as decreased D2 dopamine receptor levels in the ventral striatum () and their associated increased impulsivity () or novelty preference (), and increased response to cocaine-induced seeking or a fast early pattern of drug use ().

Preclinical models have major limitations that must be kept in mind (Geyer et al. 1995). They surely do not allow capturing all aspects of the pathology, nor can they deal with the complexity of the pathology as a whole, including the complex social, and often personal, reasons leading people to use and abuse drugs, and the environmental factors such as peer pressure, societal tolerance, taboos, and social environment. However, quite similar limitations have been encountered in clinical studies so far, and, as noted above, it remains to be proven that these factors do not exclusively play a permissive role in revealing vulnerability to drug use.

However, with the increasing evidence suggesting that drug addiction results from gradual adaptation processes in the brains of vulnerable subjects in response to chronic drug exposure (, 2011b; Belin and Everitt 2010; Deroche-Gamonet and Piazza 2010; ), animal models present a unique tool to discriminate both psycho- and neurobiological mechanisms involved in individual vulnerability to acquire drug use from those specifically involved in drug-induced neuroadaptations responsible for the transition to drug addiction. Thus, preclinical models provide a rigorous mean to control drug exposure precisely as well as assess behavioral and cognitive performance before drug administration. They also enable controlled neural manipulations to be made () and thus establish the causal influences of putative neural loci and, in turn, the cellular and molecular substrates of drug addiction ().

A major challenge of addiction research in recent years has been to develop models for studying compulsive drug use (; ; ) with great heuristic value with regard to the clinical definition of the pathology, instead of a mere drug self-administration model, which has initially been developed in rats in 1962 by the seminal work of . Notably, this has yielded to the development of the first multi-symptomatic model of addiction based on the DSM-IV criteria (). This model, based on interindividual differences and protracted exposure to cocaine self-administration provides a unique tool to identify 15%–20% of drug-exposed rats that shift from controlled to compulsive self-administration despite equal cocaine intake.

Comparing addict-like and non-addict-like rats allows disentangling common drug-induced adaptations from those specifically associated with the addiction phenotype (; , , ; ). In addition, this model allows for a direct understanding of the psychobiological mechanisms underlying the pathological shift from controlled use to addiction (; ). Finally, it uniquely addresses a major aspect of the pathology, that is, individual differences, the key to apprehend vulnerability.

Modeling Vulnerability to Drug Use in Rodents

were among the first to consider interindividual differences in drug responses, thereby introducing the concept of “vulnerability” in preclinical research on addiction. They showed that vulnerability to drug use can be predicted by a behavioral trait measured in naive animals, namely, locomotor reactivity to a novel, inescapable environment, proposed as a model of sensation seeking (). Rats are placed for 2 h in a new environment, and their horizontal activity is monitored. Based on interindividual differences in locomotor response, animals are either selected as high responders (HRs) or low responders (LRs) according to a median division (). HR rats show a greater propensity to acquire psychostimulant self-administration (). They more readily self-administer low doses of psychostimulants than LR rats do (; for review, see ; ) and show higher cocaine intake whatever the dose tested (). HR rats are more vulnerable than LR rats to the induction of behavioral sensitization () produced by repeated injections of amphetamine. The hypothesis that cocaine has an increased efficacy in HR rats is supported by the greater propensity for drug-induced neural plasticity (,) and increased stress-evoked dopamine release in the nucleus accumbens () in these animals.

Modeling Vulnerability to Addiction in Rodents

The Multi-Symptomatic Model of Addiction

Three diagnostic criteria—namely, (1) an inability to refrain from drug seeking, (2) high motivation for the drug, and (3) maintained drug use despite negative consequences—have been operationalized in rats by (i) drug seeking during periods when the drug is not available and signaled as so, (ii) break points during progressive ratio schedules of reinforcement (Fig. 1), and (iii) persistence of self-administration despite punishment by contingent electric footshocks (Fig. 2). These criteria are used to evaluate the severity of drug use after prolonged exposure to the drug according to a daily self-administration protocol. The daily self-administration session is composed of three drug components (40 min each) separated by 15-min drug-free periods. “Drug” periods are signaled by the house light, whereas the “no-drug” periods are signaled by either illumination of the entire self-administration box with extinction of the house light (; , ; ) or extinction of the house light, depending on the study (). During the “no-drug” periods, instrumental responses are without scheduled consequences. During the “drug” periods, the drug is available according to an FR5-40secTO schedule of reinforcement. A white cue light located above the active hole or lever is associated with drug delivery and serves as a conditioned stimulus (for details on the experimental procedure, see ; , , ).

Progressive ratio schedule of reinforcement. The progressive ratio schedule of reinforcement used in the present model is more behaviorally demanding than the ones classically used (). (Left panel) Various PR series, with j = 0.2 being the most extensively used one. As illustrated in the middle (ratio requirement) and right (cumulative responses) panels, the progressive ratio schedule of cocaine reinforcement used in the present model is far more behaviorally demanding than the classically used ones. Thus, whereas the 15th infusion requires 225 lever presses in the j = 0.2 procedure, it requires 515 lever presses for 2870 cumulative responses in the current model.

Punishment schedule. The schedule is the following: As for basal training sessions, an animal earns a cocaine infusion after completion of an FR5. However, the first instrumental response leads to the illumination of a green cue light signaling the presence of the shock. When an FR4 is completed within 5 min, rats receive an electric shock (0.4 mA, 2 sec); if not, the sequence is reinitialized. When FR5 is reached within a minute, rats receive an electric shock (0.4 mA, 2 sec) and then a cocaine infusion paired with its conditioned stimulus (CS). Then the shock-paired stimulus turns off. The schedule can reinitiate at the end of the time-out period, that is, 40 sec after the infusion. If, within a minute, animals do not complete the fifth lever press of the FR5 sequence, leading to the shock–cocaine presentation, the shock-associated stimulus turns off and the sequence is reinitiated.

Advanced SystemCare 9.4 serial key is speed up your computer PC performance. So you need to install this program of advanced SystemCare 9 will clean all. Advanced systme care 9 serial key.

The “Diagnosis”

Our approach consists of ranking rats for their scores for each of the three addiction-like tests. If a rat’s score is included in the 30%–40% highest percentile of the distribution, this rat is considered positive for that addiction-like criterion and is given an arbitrary criterion score of 1 (Fig. 3). Then the arbitrary criteria scores for each of the three addiction-like criteria are added, and consequently four distinct groups are identified according to the number of positive scores: 0-criteria (0crit), 1-criterion (1crit), 2-criteria (2crit), and 3-criteria (3crit) rats.

Selection strategy of 3crit and 0crit rats. A dichotomous approach to the diagnosis of addiction-like behavior can be implemented in preclinical models of addiction on the understanding that some, but not all, animals chronically exposed to drug self-administration eventually develop one or more behavioral features resembling a clinical criterion for drug addiction as defined in the DSM-IV. Thus, we have operationally defined three addiction-like criteria, namely, (A) increased motivation to take the drug, (B) an inability to refrain from drug seeking, and (C) maintained drug use despite aversive consequences. For each of the three addiction-like criteria, animals are ranked according to their score. If a rat’s score is included in the 30%–40% highest percentile of the distribution, this rat is considered positive for that addiction-like criterion and is given an arbitrary criterion score of 1. Then the arbitrary criteria scores for each of the three addiction-like criteria are added, and consequently four distinct groups are identified according to the number of positive scores: 0-criteria, 1-criterion, 2-criteria, and 3-criteria rats. (Data analyzed from .)

An analysis of the distributions of each of the three addiction-like behaviors () revealed that the distribution of the motivation for the drug and the persistence of drug seeking were best fitted by a lognormal regression, whereas the distribution of resistance to punishment was bimodal, composed of a first lognormal distribution and a second normal subdistribution (). The bimodal quality of the distributions depends on the challenging nature of the test. In this context, it is pertinent that only resistance to punishment might distribute bimodally. This bimodal distribution can, however, be influenced by additional factors such as the time at which the test is performed and whether rats have experienced the test after early training or not. The later the test is conducted after session 50, the better do the two subpopulations diverge. Early experience with the test produces the same effect. This is confirmed by the already published progression in the three scores from early to late training in the two groups (). At any rate, this bimodal distribution provides us with an objective criterion to determine a threshold in the population in order to carry out this dichotomous, categorical strategy to identify animals that show addiction-like behavior, that is, the 30%–40% highest part of the population. And importantly, as discussed above (; ), the scores in the three addiction-like behaviors are linearly related to the number of addiction-like criteria met (Fig. 4A–C). This result, obtained with the dimensional approach (scores for each criterion), strongly supports the categorical approach (number of positive criteria). These data support the view that addiction represents a pathologic continuum, from controlled to compulsive use, that is reached by a limited number of drug users. 1crit and 2crit rats either represent specific stable cocaine “use-related troubles” or intermediate steps toward addiction.

Behavioral characteristics associated with an addiction-like behavior. According to the selection strategy, rats positive for none of the 3 criteria (0crit rats) show low scores in the three addiction-like criteria, namely, (A) increased motivation to take the drug, (B) an inability to refrain from drug seeking, and (C) maintained drug use despite aversive consequences; whereas rats positive for the three addiction-like criteria (3crit rats) show the highest scores. 0crit rats are resistant to addiction, whereas 3crit rats are considered “addicted” and represent 15%–20% of the population initially exposed to cocaine (E). Importantly, scores in each of the three addiction-like criteria are linearly related to the number of positive criteria met (A–C). A similar picture is observed for the addiction score (D), calculated as the sum of the normalized scores in the three criteria. Importantly, the behavioral differences between 0crit and 3crit rats are not attributable to differential levels of cocaine intake, because throughout protracted exposure, 3crit and 0crit rats do not differ in this measure (F). Although selected on three addiction-like criteria, 3crit rats display complementary features of drug addiction, such as the inability to limit drug intake when offered extended access to cocaine (G) and high vulnerability to relapse, as measured by reinstatement of cocaine seeking behavior by increasing doses of noncontingent cocaine infusions (H). (Panels A–C and E–H are adapted from ; reprinted, with permission, from the author. Panel D is adapted from ; reprinted, with permission, from the author.)

Developed in 1980 (), the Addiction Severity Index (ASI) has been extensively used to determine the magnitude of functional and social impairments in drug addicts, thereby providing addiction with a dimensional rating that helps better define addiction severity than the categorical approach inherent to the diagnostic strategy (; ; ; ; ). A dimensional score of addiction-like behavior is fundamental for the study of predictive factors of drug addiction that is mainly based on dimensional, such as correlation, analyses. An addiction score (AS) has been developed as the algebraic sum of the normalized values (z-scores) of each of the addiction-like behaviors (Fig. 4D) (see ). It is highly representative of each of the three criteria, thereby providing one variable representing the addiction-like phenotype. Importantly, the addiction score is an objective scale because it is not dependent on the criteria selection threshold, for example, the 25%–40% highest part of the population.

Validity of the Model

Our model is based on the comparison of 3-criteria (3crit) and 0-criteria (0crit) rats. 3crit rats show high scores for each of the three addiction-like criteria and are therefore considered “addicted-like,” whereas 0crit rats are considered resistant to addiction. 3crit rats represent ∼20% of the population exposed to cocaine (Fig. 4E), an incidence observed in several independent studies with Lister-Hooded or Sprague-Dawley rats as well as either nose poke or lever press as instrumental response (; , , ; ), which is remarkably similar to that reported in humans (Anthony et al. 1994).

Although 3crit rats and 0crit rats show comparable drug intake over all basal training sessions (Fig. 4F) (; , , ), 3crit rats eventually develop higher motivation for the drug, an inability to refrain from drug seeking, and resistance to punishment (; , , ; ).

More importantly, although selected on three addiction-like behaviors, 3crit rats also display enhanced escalation of cocaine self-administration as compared with 0crit rats when access to the drug is extended to 5 h (Fig. 4G). 3crit rats therefore fulfill a fourth criterion of addiction, namely, an inability to control drug intake () classically established after extended access to the drug (). This result shows that loss of control over drug intake does not necessarily follow extended access to the drug as it has been also described by , but instead develops in some vulnerable subjects exposed to cocaine self-administration for prolonged periods of time ().

The predictive validity of the model is further supported by the demonstration that 3crit rats also show a high vulnerability to relapse in response to noncontingent infusions of cocaine (Fig. 4H) () or contingent presentations of a drug-associated stimulus (). Thus, even though selected on three addiction-like criteria, after chronic exposure to cocaine, 3crit rats display important additional features of clinical addiction as defined in the DSM-IV. These observations provide the model with both construct and predictive validities.

Moreover, because addiction-like behavior emerges in 3crit rats only after extended exposure to the drug, these results highlight the importance of the interaction between a vulnerable phenotype and chronic drug exposure in the development of compulsive cocaine self-administration.

This multi-symptomatic model recently allowed challenging the current neuroadaptive view of addiction. It was shown that transition to addiction could result from a default of adaptations to early drug-induced effects occurring in all users, instead of resulting from specific drug adaptations occurring exclusively in vulnerable users ().

NOVELTY RESPONSES AND VULNERABILITY TO ADDICTION-LIKE BEHAVIOR IN RATS

As mentioned above, epidemiological studies have revealed striking associations between several personality traits and cocaine abuse or addiction (; ; ). Sensation/novelty seeking as well as impulsivity () are among the best behavioral markers of cocaine addiction, but the question as to whether these behavioral traits actually contribute to the vulnerability to cocaine addiction remained a matter of debate ().

have shown that a high impulsivity trait in the rat, as measured by an inability to withhold inappropriate responding in a five-choice serial reaction time test (5-CSRTT) (), predicts specifically, and exclusively, the switch to compulsive cocaine self-administration after protracted exposure to the drug. In this study, and as previously shown by , sensation seeking, as measured by a high locomotor response to novelty (), predicted vulnerability to acquire self-administration for low cocaine doses, but was shown to be orthogonal to both a high impulsivity trait and the vulnerability to addiction-like behavior.

This apparent dissociation between impulsivity, sensation seeking, and cocaine addiction may seem questionable at first glance, especially provided the wealth of evidence from human studies supporting associations both between impulsivity and sensation seeking (; Eysenck and Eysenck 1985; ) and between these two behavioral traits and cocaine addiction (; , , ; ,; ). However, both impulsivity () and sensation seeking (Arnett 1994) are two multifaceted constructs. Thus, the sensation-seeking scale includes thrill and adventure seeking (TAS), experience seeking (ES), disinhibition (Dis), and boredom susceptibility (BS) dimensions, of which the TAS and DIS subscales have been suggested to refer to sensation seeking, whereas the ES and BS subscales would refer to novelty seeking (Wohlwill 1984; Arnett 1994). Therefore, sensation seeking and novelty seeking may differentially contribute to the vulnerability to develop drug addiction. However, it remained unknown whether novelty seeking, as opposed to sensation seeking, predicts the vulnerability to switch from controlled to compulsive cocaine self-administration.

In preclinical studies, novelty seeking is modeled by a high propensity to visit a new environment in a novelty-induced conditioned place preference (CPP) paradigm (; ). Importantly, although both locomotor activity in a novel inescapable environment (model of sensation seeking) and novelty-induced conditioned place preference (model of novelty seeking) are dependent on the dopaminergic system (), they are mutually exclusive (; ; ; but see Dellu et al. 1993, ) and predict different dimensions of drug reward. Thus, as previously mentioned, the first trait predicts a propensity to acquire drug self-administration (), whereas high novelty preference (HNP) rats, selected on the basis of their propensity to explore a new environment in a free choice situation, differ from their littermates in their vulnerability to express CPP for amphetamine () but not in their propensity to acquire drug self-administration ().

The respective contribution of novelty seeking and sensation seeking to the vulnerability to, and the severity of, addiction-like behavior for cocaine was investigated by . For this, the multi-symptomatic model of cocaine addiction in rats was used within a longitudinal study. A cohort of rats was tested for their locomotor response to inescapable novelty and, a week later, for their preference for novelty in a CPP protocol. All of the population was then subjected to extended cocaine self-administration and tested for cocaine use severity through the three addiction-like criteria ().

It was revealed that the high novelty-seeking trait predicts both a propensity to compulsive cocaine use (Fig. 5A–E) and the severity of cocaine addiction-like behavior, whereas sensation seeking does not (Fig. 5). Without differing in their total cocaine intake, HNP rats displayed a much higher addiction severity score than low novelty preference (LNP) littermates after protracted self-administration. Consequently, HNP rats were more represented within the population of 2crit and 3crit rats, whereas LNP rats were clustered in the 0crit and 1crit populations. On the contrary, high responders (HRs) and low responders (LRs) to novelty were equally distributed in the four subpopulations defined by their number of positive addiction-like criteria ().

High novelty preference rats display all of the behavioral features of addiction-like behavior for cocaine. (A) HNP rats show higher addiction score than LNP rats. (B–D) HNP rats also scored higher on each of the three addiction-like criteria, namely, motivation for cocaine, inability to refrain from drug seeking, and maintained drug use despite aversive consequences. In marked contrast, HR rats differed from LR rats in none of these behavioral measures. (E) In contrast to the HR/LR trait, HNP rats, with or without overlapping HR or LR phenotype (HNP-LR or HNP-HR), are heavily clustered in the compulsive subpopulation of the bimodal distribution of maintained drug use despite aversive consequences, that is, compulsive cocaine self-administration. (Panels B–D adapted from Belin et al. 2011; reprinted, with permission, from the author.)

The relationship between the high novelty preference trait and vulnerability to switch to compulsive cocaine SA was further supported not only by the demonstration of an increased representativity of the HNP rats (with or without overlapping HR or LR phenotype) in the compulsive subpart of the distribution for resistance to punishment (Fig. 5E), but also by clear relationships assessed with a (nonparametric Spearman) correlation analysis, with the percentage of time spent in the new environment of the novelty-induced place preference procedure and (1) the addiction score, (2) the resistance to punishment as measured by the percentage of infusions compared with baseline when punished contingently by electric foot shocks, and (3) the motivation as measured by the break point in a progressive ratio schedule. However, no relationship was observed between locomotor reactivity to novelty and scores in the addiction-like criteria.

A theoretical model of the relationships between addiction-like behavior (addiction score), novelty seeking (percentage of time spent in the new compartment of a novelty-induced place preference procedure), and sensation seeking (total photocell beam breaks in a 2-h novelty-induced locomotor activity session) was developed using a Principal Components Analysis (PCA). Three factors explain 100% of the total variance of the model. The first factor, which accounted for 46% of the model, represented the novelty-seeking/addiction construct because both addiction score and novelty seeking load heavily (>70%) on this factor. However, factor 2, which was orthogonal to the first one, represented the sensation-seeking construct because its representative variable, namely, novelty-induced locomotor activity, loaded (85%) almost alone on this factor. Factor 3 may be interpreted as vulnerability to addiction because it represents mainly addiction severity score and novelty seeking, however, with a minor explanatory contribution to the model (22.9%) ().

While providing the first evidence for a causal relationship between novelty preference and compulsive cocaine use, this study confirms that locomotor reactivity to novelty does not predict the vulnerability to develop cocaine addiction, but, rather, does predict the propensity to self-administer drugs (; ; ). Altogether, these data suggest that the HR phenotype and its underlying neurobiological mechanisms—involving a physiopathological chain linking stress, glucocorticoids, and the mesolimbic dopaminergic system (; ; for review, see ; ), may be involved in facilitating development of sustained cocaine use, but not in the switch from controlled to compulsive cocaine use.

Thus, two different behavioral measures suggested to reveal a putative sensation/novelty-seeking trait in rats ()—namely, novelty-induced locomotor activity and novelty preference—are differentially predictive of interindividual propensity to self-administer cocaine and to switch from controlled to compulsive cocaine use, respectively.

Of interest is the recent evidence that, despite a lack of dimensional relationship between novelty preference and impulsivity trait, as measured in the 5-CSRTT, high impulsivity rats, which have been shown to be highly vulnerable to developing compulsive cocaine self-administration (), display higher novelty preference than low impulsive littermates (), thereby suggesting that these two behavioral traits, at least partially overlapping, may interact in increasing individual vulnerability to develop cocaine addiction.

Altogether, these preclinical data suggest that the correlates of the increased propensity shown by human sensation seekers to use addictive drugs () should be dissociated from those associated with the transition from controlled to compulsive drug use.

CONCLUDING REMARKS

Cocaine addiction has been associated with several distinct behavioral/personality traits and psychiatric comorbidities. It is, however, difficult to disentangle pre-morbid elements from drug-induced adaptations and therefore identify whether comorbidities or personality/behavioral traits actually contribute to increased vulnerability to drug addiction (). Recent epidemiological studies even suggest that these numerous associated traits and psychiatric disorders could be predictors of distinct phases of the addictive process. We show in this article that animal models can be critical in this context. Using the first multi-symptomatic model of addiction in the rat, it has been revealed that two behavioral traits, namely, novelty seeking and sensation seeking, predict distinct types of vulnerabilities. Sensation seeking would predict vulnerability to use cocaine, whereas novelty seeking, akin to the high impulsivity trait, would predict vulnerability to shift from controlled to compulsive cocaine use, that is, addiction.

In conclusion, the development of addiction could be mediated by different vulnerable phenotypes (Deroche-Gamonet and Piazza 2010). The first, a “drug-use-prone” phenotype, which is positively correlated with reactivity to novelty, would facilitate the development of drug intake and subsequently sustained drug use, setting the conditions for addiction to develop. Indeed, addiction appears only after a prolonged period of sustained drug use (). However, to shift from sustained drug use to addiction, a second vulnerable phenotype would be necessary, that is, a “drug-addiction-prone” phenotype that is predicted so far by novelty seeking () or impulsivity () and that predisposes to compulsive drug intake.

ACKNOWLEDGMENTS

D.B. is supported by an INSERM AVENIR grant, the foundation Fyssen, the IREB, and the FRM. V.D.-G. is supported by ANR (Neurorelaps, TIMMS) and EquipEx (OptoPath) grants, by INSERM, the Conseil Regional d’Aquitaine, and the University of Bordeaux 2.

Footnotes

Editors: R. Christopher Pierce and Paul J. Kenny

Additional Perspectives on Addiction available at www.perspectivesinmedicine.org

REFERENCES

  • Ahmed SH, Koob G1998. Transition from moderate to excessive drug intake: Change in hedonic set point. Science282: 298–300 [PubMed] [Google Scholar]
  • Allcock CC, Grace DM1988. Pathological gamblers are neither impulsive nor sensation-seekers. Aust N Z J Psychiatry22: 307–311 [PubMed] [Google Scholar]
  • Alterman AI, Cacciola JS, Habing B, Lynch KG2007. Addiction Severity Index Recent and Lifetime summary indexes based on nonparametric item response theory methods. Psychol Assess19: 119–132 [PubMed] [Google Scholar]
  • Ambroggi F, Turiault M, Milet A, Deroche-Gamonet V, Parnaudeau S, Balado E, Barik J, van der Veen R, Maroteaux G, Lemberger T, et al.2009. Stress and addiction: Glucocorticoid receptor in dopaminoceptive neurons facilitates cocaine seeking. Nat Neurosci12: 247–249 [PubMed] [Google Scholar]
  • American Psychiatric Association2000. Diagnostic and statistical manual of mental disorders, 4th ed., Text revision (DSM-IV TR)American Psychiatric Publishing, Arlington, VA [Google Scholar]
  • Anthony JC, Warner LA, Kessler RC1994. Comparative epidemiology of dependence on tobacco, alcohol, controlled substances, and inhalants: Basic findings from the National Comorbidity Survey. Exp Clin Psychopharmacol2: 244–268 [Google Scholar]
  • Arnett J1994. Sensation seeking: A new conceptualization and a new scale. Pers Individ Dif16: 289–296 [Google Scholar]
  • Ausubel DP1961. Causes and types of narcotic addiction: A psychosocial view. Psychiatr Q35: 523–531 [PubMed] [Google Scholar]
  • Badiani A, Belin D, Epstein D, Calu D, Shaham Y2011. Opiate versus psychostimulant addiction: The differences do matter. Nat Rev Neurosci12: 685–700 [PMC free article] [PubMed] [Google Scholar]
  • Baler RD, Volkow ND2006. Drug addiction: The neurobiology of disrupted self-control. Trends Mol Med12: 559–566 [PubMed] [Google Scholar]
  • Ball SA, Kranzler HR, Tennen H, Poling JC, Rounsaville BJ1998. Personality disorder and dimension differences between type A and type B substance abusers. J Pers Disord12: 1–12 [PubMed] [Google Scholar]
  • Bardo M, Donohew RL, Harrington NG1996. Psychobiology of novelty seeking and drug seeking behavior. Behav Brain Res77: 23–43 [PubMed] [Google Scholar]
  • Bari A, Dalley J, Robbins T2008. The application of the 5-choice serial reaction time task for the assessment of visual attentional processes and impulse control in rats. Nat Protoc3: 759–767 [PubMed] [Google Scholar]
  • Batts K, Grabill T, Galvin D, Schlenger W2005. Contextual and other factors related to workplace-based substance abuse prevention and early intervention for adolescents and young adults. U.S. Department of Health and Human Services, Washington, DC [Google Scholar]
  • Bechara A2005. Decision making, impulse control and loss of willpower to resist drugs: A neurocognitive perspective. Nat Neurosci8: 1458–1463 [PubMed] [Google Scholar]
  • Bechara A, Damasio H2002. Decision-making and addiction (Part I): Impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia40: 1675–1689 [PubMed] [Google Scholar]
  • Belin D, Dalley JW2012. Animal models in addiction research. In Drug abuse and addiction in medical illness: Causes, consequences and treatment (ed. Verster JC, et al.), Springer-Verlag, New York (in press) [Google Scholar]
  • Belin D, Everitt BJ2008. Cocaine-seeking habits depend upon dopamine-dependent serial connectivity linking the ventral with the dorsal striatum. Neuron57: 432–441 [PubMed] [Google Scholar]
  • Belin D, Everitt BJ2010. The neural and psychological basis of a compulsive incentive habit. In Handbook of basal ganglia structure and function (ed. Steiner H, Tseng K), pp. 571–592Elsevier, New York [Google Scholar]
  • Belin D, Mar A, Dalley J, Robbins T, Everitt B2008. High impulsivity predicts the switch to compulsive cocaine-taking. Science320: 1352–1355 [PMC free article] [PubMed] [Google Scholar]
  • Belin D, Balado E, Piazza PV, Deroche-Gamonet V2009a. Pattern of intake and drug craving predict the development of cocaine addiction-like behavior in rats. Biol Psychiatry65: 863–868 [PubMed] [Google Scholar]
  • Belin D, Jonkman S, Dickinson A, Robbins T, Everitt B2009b. Parallel and interactive learning processes within the basal ganglia: Relevance for the understanding of addiction. Behav Brain Res199: 89–102 [PubMed] [Google Scholar]
  • Belin D, Berson N, Balado E, Piazza PV, Deroche-Gamonet V2011a. High-novelty-preference rats are predisposed to compulsive cocaine self-administration. Neuropsychopharmacology36: 569–579 [PMC free article] [PubMed] [Google Scholar]
  • Belin D, Economidou D, Pelloux Y, Everitt BJ2011b. Habit formation and compulsion. NeuroMethods53: 337–378 [Google Scholar]
  • Blanchard MM, Mendelsohn D, Stamp JA2009. The HR/LR model: Further evidence as an animal model of sensation seeking. Neurosci Biobehav Rev33: 1145–1154 [PubMed] [Google Scholar]
  • Bornovalova M, Daughters S, Hernandez G, Richards J, Lejuez C2005a. Differences in impulsivity and risk-taking propensity between primary users of crack cocaine and primary users of heroin in a residential substance-use program. Exp Clin Psychopharmacol13: 311–318 [PubMed] [Google Scholar]
  • Bornovalova MA, Lejuez CW, Daughters SB, Zachary Rosenthal M, Lynch TR2005b. Impulsivity as a common process across borderline personality and substance use disorders. Clin Psychol Rev25: 790–812 [PubMed] [Google Scholar]
  • Cacciola J, Alterman A, O’Brien CP, Mclellan A1997. The Addiction Severity Index in clinical efficacy trials of medications for cocaine dependence. NIDA Res Monogr175: 182–191 [PubMed] [Google Scholar]
  • Cain M, Saucier D, Bardo M2005. Novelty seeking and drug use: Contribution of an animal model. Exp Clin Psychopharmacol13: 367–375 [PubMed] [Google Scholar]
  • Caspi A, Moffitt TE2006. Gene–environment interactions in psychiatry: Joining forces with neuroscience. Nat Rev Neurosci7: 583–590 [PubMed] [Google Scholar]
  • Castellani B, Rugle L1995. A comparison of pathological gamblers to alcoholics and cocaine misusers on impulsivity, sensation seeking, and craving. Int J Addict30: 275–289 [PubMed] [Google Scholar]
  • Childress AR, Mclellan A, Ehrman R, O’Brien CP1988. Classically conditioned responses in opioid and cocaine dependence: A role in relapse?NIDA Res Monogr84: 25–43 [PubMed] [Google Scholar]
  • Clapper RL, Martin CS, Clifford PR1994. Personality, social environment, and past behavior as predictors of late adolescent alcohol use. J Subst Abuse6: 305–313 [PubMed] [Google Scholar]
  • Clark L, Robbins T, Ersche KD, Sahakian BJ2006. Reflection impulsivity in current and former substance users. Biol Psychiatry60: 515–522 [PubMed] [Google Scholar]
  • Coffey SF, Gudleski GD, Saladin ME, Brady KT2003. Impulsivity and rapid discounting of delayed hypothetical rewards in cocaine-dependent individuals. Exp Clin Psychopharmacol11: 18–25 [PubMed] [Google Scholar]
  • Comeau N, Stewart SH, Loba P2001. The relations of trait anxiety, anxiety sensitivity, and sensation seeking to adolescents’ motivations for alcohol, cigarette, and marijuana use. Addict Behav26: 803–825 [PubMed] [Google Scholar]
  • Conway K, Swendsen JD, Rounsaville BJ, Merikangas KR2002. Personality, drug of choice, and comorbid psychopathology among substance abusers. Drug Alcohol Depend65: 225–234 [PubMed] [Google Scholar]
  • Crews FT, Boettiger CA2009. Impulsivity, frontal lobes and risk for addiction. Pharmacol Biochem Behav93: 237–247 [PMC free article] [PubMed] [Google Scholar]
  • Cunha PJ, Bechara A, de Andrade AG, Nicastri S2011. Decision-making deficits linked to real-life social dysfunction in crack cocaine-dependent individuals. Am J Addict20: 78–86 [PMC free article] [PubMed] [Google Scholar]
  • Dalley J, Theobald D, Berry D, Milstein J, Lääne K, Everitt B, Robbins T2005. Cognitive sequelae of intravenous amphetamine self-administration in rats: Evidence for selective effects on attentional performance. Neuropsychopharmacology30: 525–537 [PubMed] [Google Scholar]
  • Dalley J, Fryer T, Brichard L, Robinson E, Theobald D, Laane K, Pena Y, Murphy E, Shah Y, Probst K, et al.2007. Nucleus accumbens D2/3 receptors predict trait impulsivity and cocaine reinforcement. Science315: 1267–1270 [PMC free article] [PubMed] [Google Scholar]
  • Dalley JW, Everitt BJ, Robbins TW2011. Impulsivity, compulsivity, and top-down cognitive control. Neuron69: 680–694 [PubMed] [Google Scholar]
  • Dellu F, Mayo W, Piazza PV, Le Moal M, Simon H1993. Individual differences in behavioral responses to novelty in rats. Possible relationship with the sensation-seeking trait in man. Pers Individ Dif15: 411–418 [Google Scholar]
  • Dellu F, Piazza PV, Mayo W, Le Moal M, Simon H1996. Novelty-seeking in rats—Biobehavioral characteristics and possible relationship with the sensation-seeking trait in man. Neuropsychobiology34: 136–145 [PubMed] [Google Scholar]
  • Deroche-Gamonet V, Piazza PV2010. Transition to addiction. In Encyclopedia of behavioral neuroscience (ed. Koob GF, et al.), Vol. 3, pp. 422–428Academic Press, Oxford [Google Scholar]
  • Deroche-Gamonet V, Sillaber I, Aouizerate B, Izawa R, Jaber M, Ghozland S, Kellendonk C, Le Moal M, Spanagel R, Schutz G, et al.2003. The glucocorticoid receptor as a potential target to reduce cocaine abuse. J Neurosci23: 4785–4790 [PubMed] [Google Scholar]
  • Deroche-Gamonet V, Belin D, Piazza P2004. Evidence for addiction-like behavior in the rat. Science305: 1014–1017 [PubMed] [Google Scholar]
  • Dom G, D’haene P, Hulstijn W, Sabbe B2006. Impulsivity in abstinent early- and late-onset alcoholics: Differences in self-report measures and a discounting task. Addiction101: 50–59 [PubMed] [Google Scholar]
  • Ersche KD, Fletcher PC, Lewis SJ, Clark L, Stocks-Gee G, London M, Deakin JB, Robbins TW, Sahakian BJ2005. Abnormal frontal activations related to decision-making in current and former amphetamine and opiate dependent individuals. Psychopharmacology (Berl)180: 612–623 [PMC free article] [PubMed] [Google Scholar]
  • Ersche KD, Roiser JP, Robbins TW, Sahakian BJ2008. Chronic cocaine but not chronic amphetamine use is associated with perseverative responding in humans. Psychopharmacology (Berl)197: 421–431 [PMC free article] [PubMed] [Google Scholar]
  • Ersche KD, Turton AJ, Pradhan S, Bullmore ET, Robbins TW2010. Drug addiction endophenotypes: Impulsive versus sensation-seeking personality traits. Biol Psychiatry68: 770–773 [PMC free article] [PubMed] [Google Scholar]
  • Ersche KD, Barnes A, Simon Jones P, Morein-Zamir S, Robbins TW, Bullmore ET2011. Abnormal structure of frontostriatal brain systems is associated with aspects of impulsivity and compulsivity in cocaine dependence. Brain134: 2013–2024 [PMC free article] [PubMed] [Google Scholar]
  • Ersche KD, Jones PS, Williams GB, Turton AJ, Robbins TW, Bullmore ET2012. Abnormal brain structure implicated in stimulant drug addiction. Science335: 601–604 [PubMed] [Google Scholar]
  • European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) The state of the drugs problem in Europe. 2009 (Annual Report) [Google Scholar]
  • Evenden JL1999. Varieties of impulsivity. Psychopharmacology146: 348–361 [PubMed] [Google Scholar]
  • Eysenck HJ, Eysenck MW1985. Personality and individual differences: A natural science approach. Plenum, New York [Google Scholar]
  • Fernandez-Serrano MJ, Perez-Garcia M, Perales JC, Verdejo-Garcia A2010. Prevalence of executive dysfunction in cocaine, heroin and alcohol users enrolled in therapeutic communities. Eur J Pharmacol626: 104–112 [PubMed] [Google Scholar]
  • Franques P2003. Sensation seeking as a common factor in opioid dependent subjects and high risk sport practicing subjects. A cross sectional study. Drug Alcohol Depend69: 121–126 [PubMed] [Google Scholar]
  • Franques P, Auriacombe M, Tignol J2000. Addiction and personality. Encephale26: 68–78 (in French) [PubMed] [Google Scholar]
  • Gerra G, Angioni L, Zaimovic A, Moi G, Bussandri M, Bertacca S, Santoro G, Gardini S, Caccavari R, Nicoli MA2004. Substance use among high-school students: Relationships with temperament, personality traits, and parental care perception. Subst Use Misuse39: 345–367 [PubMed] [Google Scholar]
  • Gerra G, Bertacca S, Zaimovic A, Pirani M, Branchi B, Ferri M2008. Relationship of personality traits and drug of choice by cocaine addicts and heroin addicts. Subst Use Misuse43: 317–330 [PubMed] [Google Scholar]
  • Geyer MA, Markou A1995. Animal models in psychiatric disorders. In Psychopharmacology: The fourth generation of progress (ed. Bloom FE, Kupfer DJ), pp. 787–798Raven, New York [Google Scholar]
  • Goeders NE2003. The impact of stress on addiction. Eur Neuropsychopharmacol13: 435–441 [PubMed] [Google Scholar]
  • Goldstein RZ, Craig AD, Bechara A, Garavan H, Childress AR, Paulus MP, Volkow ND2009. The neurocircuitry of impaired insight in drug addiction. Trends Cogn Sci13: 372–380 [PMC free article] [PubMed] [Google Scholar]
  • Gorodetzky H, Sahakian BJ, Robbins TW, Ersche KD2011. Differences in self-reported decision-making styles in stimulant-dependent and opiate-dependent individuals. Psychiatry Res186: 437–440 [PMC free article] [PubMed] [Google Scholar]
  • Gossop M1978. Drug dependence, crime and personality among female addicts. Drug Alcohol Depend3: 359–364 [PubMed] [Google Scholar]
  • Grant S, Contoreggi C, London ED2000. Drug abusers show impaired performance in a laboratory test of decision making. Neuropsychologia38: 1180–1187 [PubMed] [Google Scholar]
  • Greene RL, Adyanthaya AE, Morse RM, Davis LJ1993. Personality variables in cocaine- and marijuana-dependent patients. J Pers Assess61: 224–230 [PubMed] [Google Scholar]
  • Gum AM, Cheavens JS2008. Psychiatric comorbidity and depression in older adults. Curr Psychiatry Rep10: 23–29 [PubMed] [Google Scholar]
  • Gunnarsdottir ED, Pingitore RA, Spring BJ, Konopka LM, Crayton JW, Milo T, Shirazi P2000. Individual differences among cocaine users. Addict Behav25: 641–652 [PubMed] [Google Scholar]
  • Hester R, Garavan H2004. Executive dysfunction in cocaine addiction: Evidence for discordant frontal, cingulate, and cerebellar activity. J Neurosci24: 11017–11022 [PubMed] [Google Scholar]
  • Hooks MS, Jones GH, Smith AD, Neill DB, Justice JB1991a. Response to novelty predicts the locomotor and nucleus accumbens dopamine response to cocaine. Synapse9: 121–128 [PubMed] [Google Scholar]
  • Hooks MS, Jones GH, Smith AD, Neill DB, Justice JB1991b. Individual differences in locomotor activity and sensitization. Pharmacol Biochem Behav38: 467–470 [PubMed] [Google Scholar]
  • Hooks MS, Jones GH, Liem BJ, Justice JB1992. Sensitization and individual differences to IP amphetamine, cocaine, or caffeine following repeated intracranial amphetamine infusions. Pharmacol Biochem Behav43: 815–823 [PubMed] [Google Scholar]
  • Jessor R, Jessor S1980. A social–psychological framework for studying drug use. NIDA Res Monogr30: 102–109 [PubMed] [Google Scholar]
  • Jessor R, Chase JA, Donovan JE1980. Psychosocial correlates of marijuana use and problem drinking in a national sample of adolescents. Am J Public Health70: 604–613 [PMC free article] [PubMed] [Google Scholar]
  • Kalivas P, Volkow N2005. The neural basis of addiction: A pathology of motivation and choice. Am J Psychiatry162: 1403–1413 [PubMed] [Google Scholar]
  • Kampman KM, Volpicelli JR, McGinnis DE, Alterman AI, Weinrieb RM, D’Angelo L, Epperson LE1998. Reliability and validity of the Cocaine Selective Severity Assessment. Addict Behav23: 449–461 [PubMed] [Google Scholar]
  • Kasanetz F, Deroche-Gamonet V, Berson N, Balado E, Lafourcade M, Manzoni O, Piazza PV2010. Transition to addiction is associated with a persistent impairment in synaptic plasticity. Science328: 1709–1712 [PubMed] [Google Scholar]
  • Kessler RC, Nelson CB, McGonagle KA, Edlund MJ, Frank RG, Leaf PJ1996. The epidemiology of co-occurring addictive and mental disorders: Implications for prevention and service utilization. Am J Orthopsychiatry66: 17–31 [PubMed] [Google Scholar]
  • Khantzian EJ1980. Psychiatric illness in drug abusers. N Engl J Med302: 869–870 [PubMed] [Google Scholar]
  • Khantzian EJ1985a. The injured self, addiction, and our call to medicine. Understanding and managing addicted physicians. JAMA254: 249–252 [PubMed] [Google Scholar]
  • Khantzian EJ1985b. The self-medication hypothesis of addictive disorders: Focus on heroin and cocaine dependence. Am J Psychiatry142: 1259–1264 [PubMed] [Google Scholar]
  • Khantzian EJ1986. A contemporary psychodynamic approach to drug abuse treatment. Am J Drug Alcohol Abuse12: 213–222 [PubMed] [Google Scholar]
  • Khantzian EJ1989. Addiction: Self-destruction or self-repair?J Subst Abuse Treat6: 75. [PubMed] [Google Scholar]
  • Khantzian EJ1991. Self-regulation factors in cocaine dependence—A clinical perspective. NIDA Res Monogr110: 211–226 [PubMed] [Google Scholar]
  • Khantzian EJ1997. The self-medication hypothesis of substance use disorders: A reconsideration and recent applications. Harv Rev Psychiatry4: 231–244 [PubMed] [Google Scholar]
  • Khantzian EJ, Mack JE, Schatzberg AF1974. Heroin use as an attempt to cope: Clinical observations. Am J Psychiatry131: 160–164 [PubMed] [Google Scholar]
  • Kirby KN, Petry NM2004. Heroin and cocaine abusers have higher discount rates for delayed rewards than alcoholics or non-drug-using controls. Addiction99: 461–471 [PubMed] [Google Scholar]
  • Kirby KN, Petry NM, Bickel WK1999. Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. J Exp Psychol Gen128: 78–87 [PubMed] [Google Scholar]
  • Klebaur JE, Bevins RA, Segar TM, Bardo M2001. Individual differences in behavioral responses to novelty and amphetamine self-administration in male and female rats. Behav Pharmacol12: 267–275 [PubMed] [Google Scholar]
  • Koob GF, Le Moal M2001. Drug addiction, dysregulation of reward, and allostasis. Neuropsychopharmacology24: 97–129 [PubMed] [Google Scholar]
  • Koob GF, Le Moal M2005. Neurobiology of addiction.Academic, San Diego [Google Scholar]
  • Kreek M, Laforge K, Butelman E2002. Pharmacotherapy of addictions. Nat Rev Drug Discov1: 710–726 [PubMed] [Google Scholar]
  • Kreek M, Nielsen D, Butelman E, Laforge K2005. Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nat Neurosci8: 1450–1457 [PubMed] [Google Scholar]
  • Labouvie EW, McGee CR1986. Relation of personality to alcohol and drug use in adolescence. J Consult Clin Psychol54: 289–293 [PubMed] [Google Scholar]
  • Le A, Shaham Y2002. Neurobiology of relapse to alcohol in rats. Pharmacol Ther94: 137–156 [PubMed] [Google Scholar]
  • Lejuez CW, Bornovalova MA, Daughters SB, Curtin JJ2005. Differences in impulsivity and sexual risk behavior among inner-city crack/cocaine users and heroin users. Drug Alcohol Depend77: 169–175 [PubMed] [Google Scholar]
  • Lejuez CW, Paulson A, Daughters SB, Bornovalova MA, Zvolensky MJ2006. The association between heroin use and anxiety sensitivity among inner-city individuals in residential drug use treatment. Behav Res Ther44: 667–677 [PubMed] [Google Scholar]
  • Lejuez CW, Zvolensky MJ, Daughters SB, Bornovalova MA, Paulson A, Tull MT, Ettinger K, Otto MW2008. Anxiety sensitivity: A unique predictor of dropout among inner-city heroin and crack/cocaine users in residential substance use treatment. Behav Res Ther46: 811–818 [PMC free article] [PubMed] [Google Scholar]
  • Leshner AI1997. Addiction is a brain disease, and it matters. Science278: 45–47 [PubMed] [Google Scholar]
  • Madden GJ, Petry NM, Badger GJ, Bickel WK1997. Impulsive and self-control choices in opioid-dependent patients and non-drug-using control participants: Drug and monetary rewards. Exp Clin Psychopharmacol5: 256–262 [PubMed] [Google Scholar]
  • Maremmani I, Pacini M, Popovic D, Romano A, Maremmani AG, Perugi G, Deltito J, Akiskal K, Akiskal H2009. Affective temperaments in heroin addiction. J Affect Disord117: 186–192 [PubMed] [Google Scholar]
  • Marinelli M, Piazza PV2002. Interaction between glucocorticoid hormones, stress and psychostimulant drugs. Eur J Neurosci16: 387–394 [PubMed] [Google Scholar]
  • McLellan AT, Luborsky L, Woody GE, O’Brien CP1980. An improved diagnostic evaluation instrument for substance abuse patients. The Addiction Severity Index. J Nerv Ment Dis168: 26–33 [PubMed] [Google Scholar]
  • McLellan A, Kushner H, Metzger D, Peters R1992. The fifth edition of the Addiction Severity Index. J Subst Abuse Treat9: 199–213 [PubMed] [Google Scholar]
  • McNamara R, Dalley JW, Robbins TW, Everitt BJ, Belin D2010. Trait-like impulsivity does not predict escalation of heroin self-administration in the rat. Psychopharmacology212: 453–464 [PubMed] [Google Scholar]
  • Meda SA, Stevens MC, Potenza MN, Pittman B, Gueorguieva R, Andrews MM, Thomas AD, Muska C, Hylton JL, Pearlson GD2009. Investigating the behavioral and self-report constructs of impulsivity domains using Principal Component Analysis. Behav Pharmacol20: 390–399 [PMC free article] [PubMed] [Google Scholar]
  • Mitchell JM, Fields HL, D’Esposito M, Boettiger CA2005. Impulsive responding in alcoholics. Alcohol Clin Exp Res29: 2158–2169 [PubMed] [Google Scholar]
  • Molander AC, Mar A, Norbury A, Steventon S, Moreno M, Caprioli D, Theobald DE, Belin D, Everitt BJ, Robbins TW, et al.2011. High impulsivity predicting vulnerability to cocaine addiction in rats: Some relationship with novelty preference but not novelty reactivity, anxiety or stress. Psychopharmacology (Berl)215: 721–731 [PubMed] [Google Scholar]
  • Monterosso J, Ehrman R, Napier KL, O’Brien CP, Childress AR2001. Three decision-making tasks in cocaine-dependent patients: Do they measure the same construct?Addiction96: 1825–1837 [PubMed] [Google Scholar]
  • Naqvi NH, Bechara A2010. The insula and drug addiction: An interoceptive view of pleasure, urges, and decision-making. Brain Struct Funct214: 435–450 [PMC free article] [PubMed] [Google Scholar]
  • Nutt D, King LA, Saulsbury W, Blakemore C2007. Development of a rational scale to assess the harm of drugs of potential misuse. Lancet369: 1047–1053 [PubMed] [Google Scholar]
  • O’Brien CP1997. A range of research-based pharmacotherapies for addiction. Science278: 66–70 [PubMed] [Google Scholar]
  • Patkar AA, Berrettini WH, Hoehe M, Thornton CC, Gottheil E, Hill K, Weinstein SP2002. Serotonin transporter polymorphisms and measures of impulsivity, aggression, and sensation seeking among African-American cocaine-dependent individuals. Psychiatry Res110: 103–115 [PubMed] [Google Scholar]
  • Patkar AA, Gottheil E, Berrettini WH, Hill KP, Thornton CC, Weinstein SP2003. Relationship between platelet serotonin uptake sites and measures of impulsivity, aggression, and craving among African-American cocaine abusers. Am J Addict12: 432–447 [PubMed] [Google Scholar]
  • Patkar AA, Murray HW, Mannelli P, Gottheil E, Weinstein SP, Vergare MJ2004. Pre-treatment measures of impulsivity, aggression and sensation seeking are associated with treatment outcome for African-American cocaine-dependent patients. J Addict Dis23: 109–122 [PubMed] [Google Scholar]
  • Pelloux Y, Everitt B, Dickinson A2007. Compulsive drug seeking by rats under punishment: Effects of drug taking history. Psychopharmacology (Berl)194: 127–137 [PubMed] [Google Scholar]
  • Piazza PV, Le Moal ML1996. Pathophysiological basis of vulnerability to drug abuse: Role of an interaction between stress, glucocorticoids, and dopaminergic neurons. Annu Rev Pharmacol Toxicol36: 359–378 [PubMed] [Google Scholar]
  • Piazza PV, Deminiere JM, Le Moal M, Simon H1989. Factors that predict individual vulnerability to amphetamine self-administration. Science245: 1511–1513 [PubMed] [Google Scholar]
  • Piazza PV, Rouge-Pont F, Deminiere JM, Kharoubi M, Le Moal M, Simon H1991. Dopaminergic activity is reduced in the prefrontal cortex and increased in the nucleus accumbens of rats predisposed to develop amphetamine self-administration. Brain Res567: 169–174 [PubMed] [Google Scholar]
  • Piazza PV, Deroche V, Rouge-Pont F, Le Moal M1998. Behavioral and biological factors associated with individual vulnerability to psychostimulant abuse. NIDA Res Monogr169: 105–133 [PubMed] [Google Scholar]
  • Piazza PV, Deroche-Gamonet V, Rouge-Pont F, Le Moal M2000. Vertical shifts in self-administration dose-response functions predict a drug-vulnerable phenotype predisposed to addiction. J Neurosci20: 4226–4232 [PubMed] [Google Scholar]
  • Richardson NR, Roberts DC1996. Progressive ratio schedules in drug self-administration studies in rats: A method to evaluate reinforcing efficacy. J Neurosci Methods66: 1–11 [PubMed] [Google Scholar]
  • Rikoon S, Cacciola J, Carise D, Alterman A, Mclellan A2006. Predicting DSM-IV dependence diagnoses from Addiction Severity Index composite scores. J Subst Abuse Treat31: 17–24 [PubMed] [Google Scholar]
  • Robinson TE, Berridge KC2008. The incentive sensitization theory of addiction: Some current issues. Philos Trans R Soc Lond B Biol Sci363: 3137–3146 [PMC free article] [PubMed] [Google Scholar]
  • Salgad JV, Malloy-Diniz LF, Campos VR, Abrantes SS, Fuentes D, Bechara A, Correa H2009. Neuropsychological assessment of impulsive behavior in abstinent alcohol-dependent subjects. Rev Bras Psiquiatr31: 4–9 [PubMed] [Google Scholar]
  • Schinka JA, Curtiss G, Mulloy JM1994. Personality variables and self-medication in substance abuse. J Pers Assess63: 413–422 [PubMed] [Google Scholar]
  • Shalev U, Grimm JW, Shaham Y2002. Neurobiology of relapse to heroin and cocaine seeking: A review. Pharmacol Rev54: 1–42 [PubMed] [Google Scholar]
  • Sher KJ, Bartholow BD, Wood MD2000. Personality and substance use disorders: A prospective study. J Consult Clin Psychol68: 818–829 [PubMed] [Google Scholar]
  • Skinstad AH, Swain A2001. Comorbidity in a clinical sample of substance abusers. Am J Drug Alcohol Abuse27: 45–64 [PubMed] [Google Scholar]
  • Somaini L, Donnini C, Manfredini M, Raggi MA, Saracino MA, Gerra ML, Amore A, Leonardi C, Serpelloni G, Gerra G2011. Adverse childhood experiences (ACEs), genetic polymorphisms and neurochemical correlates in experimentation with psychotropic drugs among adolescents. Neurosci Biobehav Rev35: 1771–1778 [PubMed] [Google Scholar]
  • Swadi H1999. Individual risk factors for adolescent substance use. Drug Alcohol Depend55: 209–224 [PubMed] [Google Scholar]
  • Swendsen J, Le Moal M2011. Individual vulnerability to addiction. Ann NY Acad Sci1216: 73–85 [PubMed] [Google Scholar]
  • Teichman M, Barnea Z, Ravav G1989. Personality and substance use among adolescents: A longitudinal study. Br J Addict84: 181–190 [PubMed] [Google Scholar]
  • Terracciano A, Lockenhoff CE, Crum RM, Bienvenu OJ, Costa PTJ2008. Five-Factor Model personality profiles of drug users. BMC Psychiatry8: 22. [PMC free article] [PubMed] [Google Scholar]
  • Vanderschuren L, Everitt B2004. Drug seeking becomes compulsive after prolonged cocaine self-administration. Science305: 1017–1019 [PubMed] [Google Scholar]
  • van der Veen R, Piazza PV, Deroche-Gamonet V2007. Gene–environment interactions in vulnerability to cocaine intravenous self-administration: A brief social experience affects intake in DBA/2J but not in C57BL/6J mice. Psychopharmacology (Berl)193: 179–186 [PubMed] [Google Scholar]
  • van der Veen R, Koehl M, Abrous DN, de Kloet ER, Piazza PV, Deroche-Gamonet V2008. Maternal environment influences cocaine intake in adulthood in a genotype-dependent manner. PLoS ONE3: e2245. [PMC free article] [PubMed] [Google Scholar]
  • Verdejo-Garcia A, Bechara A2009. A somatic marker theory of addiction. Neuropharmacology56: 48–62 [PMC free article] [PubMed] [Google Scholar]
  • Verdejo-Garcia A, Bechara A, Recknor EC, Perez-Garcia M2006. Executive dysfunction in substance dependent individuals during drug use and abstinence: An examination of the behavioral, cognitive and emotional correlates of addiction. J Int Neuropsychol Soc12: 405–415 [PubMed] [Google Scholar]
  • Verdejo-Garcia A, Bechara A, Recknor EC, Perez-Garcia M2007a. Negative emotion-driven impulsivity predicts substance dependence problems. Drug Alcohol Depend91: 213–219 [PubMed] [Google Scholar]
  • Verdejo-Garcia AJ, Perales JC, Perez-Garcia M2007b. Cognitive impulsivity in cocaine and heroin polysubstance abusers. Addict Behav32: 950–966 [PubMed] [Google Scholar]
  • Verdejo-Garcia A, Lawrence AJ, Clark L2008. Impulsivity as a vulnerability marker for substance-use disorders: Review of findings from high-risk research, problem gamblers and genetic association studies. Neuroscience Biobehav Rev32: 777–810 [PubMed] [Google Scholar]
  • Volkow N, Wang GJ, Telang F, Fowler JS, Logan J, Childress AR, Jayne M, Ma Y, Wong C2006. Cocaine cues and dopamine in dorsal striatum: Mechanism of craving in cocaine addiction. J Neurosci26: 6583–6588 [PMC free article] [PubMed] [Google Scholar]
  • Volkow ND, Wang GJ, Fowler JS, Tomasi D, Telang F, Baler R2010. Addiction: Decreased reward sensitivity and increased expectation sensitivity conspire to overwhelm the brain’s control circuit. Bioessays32: 748–755 [PMC free article] [PubMed] [Google Scholar]
  • von Knorring L, Oreland L, Winblad B1984. Personality traits related to monoamine oxidase activity in platelets. Psychiatry Res12: 11–26 [PubMed] [Google Scholar]
  • Weeks JR1962. Experimental morphine addiction: Method for automatic intravenous injections in unrestrained Rats. Science138: 143–144 [PubMed] [Google Scholar]
  • WHO2004. Neuroscience of psychoactive substance use and dependence. Geneva, Switzerland [Google Scholar]
  • Wiessing L, Olszewski D, Klempova D, Vicente J, Griffiths P2009. EMCDDA annual report 2009: Cocaine and heroin maintain firm hold on Europe’s drug scene. Euro Surveill14: 19410. [PubMed] [Google Scholar]
  • Wohlwill JF1984. What are sensation seekers seeking. Behav Brain Sci7: 453 [Google Scholar]
  • Yalachkov Y, Kaiser J, Naumer MJ2010. Sensory and motor aspects of addiction. Behav Brain Res207: 215–222 [PubMed] [Google Scholar]
  • Zuckerman M1986. Sensation seeking and the endogenous deficit theory of drug abuse. NIDA Res Monogr74: 59–70 [PubMed] [Google Scholar]
  • Zuckerman M1993. P-impulsive sensation seeking and its behavioral, psychophysiological and biochemical correlates. Neuropsychobiology28: 30–36 [PubMed] [Google Scholar]
Articles from Cold Spring Harbor Perspectives in Medicine are provided here courtesy of Cold Spring Harbor Laboratory Press
  • Your First 100 Million by Dan Pena PDF 2nd Edit + Audio + QLA seminars (2019)

    Dan Pena - QLA 2012. Dan Pena - QLA Castle Seminar May 2019. Dan Pena - QLA Castle Seminar June 2019. Dan Pena - University of Greenwich Talk (2019). Various CEOs and self and self made entrepreneurs have praised the life changing wisdom this book has given them, providing them with the only information they need to create generational wealth.
    From Russian Federation
    Free shipping
    The inefficiency goes far beyond financial shortfall, it shows up in your inability to connect with your family, your friends, and to see and embrace opportunities. Risk nothing and you risk EVERYTHING.
    Was: Previous Price$8.92
    or Best Offer
  • Kenrick Cleveland – The Double Helix Presentation Principle

    Call 05 – Creating the Emotional Roller Coaster. Call 06 – Review: Creating the Emotional Roller Coaster. Call 07 – The Competition Annihilator. Call 08 – Review: The Competition Annihilator. Call 03 – Developing Your Secret Ingredient.
    Was: Previous Price$6.99
    or Best Offer
  • AthleanX – AX 1 THE COMPLETE STEP-BY-STEP 90 DAY SYSTEM Contents: Videos

    The minute you stop doing what you were doing “when you were younger” is the minute you stop being and feeling young! Don’t worry though, I’ll be there with you every step of the way, and I’m not going to let you fail.
    Was: Previous Price$8.95
    or Best Offer
  • Jason Capital – Power Voice

    If You Don’t Have At Least Two People SWEAR That. What type of results can I expect inside The Power Voice?”. What Can I Expect?”. Everyone you just read about has no magical skill or talent. For most, it would take them 2-3 years of dedicated effort and daily practice.But with the Power Voice, I’ve done all the work for you.
    Was: Previous Price$6.99
    or Best Offer
  • Dick Sutphen – Sleep Programming Contents: Audio

    The second level of theta precedes deep delta sleep. Alpha and theta are the levels accessed for hypnosis programming. All you have to do is listen as you go to sleep. When the relaxation is complete you hear nearly 2,000 words of paced and repeated suggestions, phrased for acceptance by all levels of your mind.
    Was: Previous Price$3.99
    or Best Offer
  • ⚡️ ⚡️Secrets of Inner Power – T. Harv Eker 🔥🔥

    ⚡️ ⚡️Secrets of Inner Power – T. Harv Eker 🔥🔥. Stop dreaming of success & start living it – train your mind to work for you (instead of against you) in this enlightening 7-part video training by T. Harv Eker.
    Was: Previous Price$8.92
    or Best Offer
  • ⚡️ ⚡️ Anthony Metivier – The Magnetic Memory Masterclass🔥🔥

    Step-by-step worksheets, exercises and guides you can follow.
    Was: Previous Price$8.92
    or Best Offer
  • Patrick McKeown – The Oxygen Advantage

    He then shows you how to increase your BOLT score by using light breathing exercises and learning how to simulate high altitude training, a technique used by Navy SEALs and professional athletes to help increase endurance, weight loss, and vital red blood cells to dramatically improve cardio-fitness.
    Was: Previous Price$2.99
    or Best Offer
  • Derek Rake – Shogun Sequences Handbook

    Inside The Shogun Sequences® Handbook. Here’s The Entire Arsenal Of Shogun Sequences® That Will Annihilate Every Sticking Point You’ll Ever Face With A Woman. The possibilities are only limited by your imagination (and conscience!).
    Was: Previous Price$3.99
    or Best Offer
  • Derek Rake – Barnum Manuscript

    The Birth Of The Barnum Effect. Simply put, you can similarly induce the Barnum Effect in a woman to make her fall in love with you amazingly quickly. Discover The Easiest Way To Spike Her Attraction Levels By Inducing The “Barnum Effect” In Her Mind.
    Was: Previous Price$3.99
    or Best Offer
  • Derek Rake – Conversational Seduction

    It’s not about “black magic”, “seduction occult” or anything that “forces” a woman to like you. With these techniques, you’ll be as suave as you can be over the phone. BONUS 3: Humor Seduction Guidebook by Colin Simone.
    Was: Previous Price$3.99
    or Best Offer
  • Derek Rake – Sonic Seduction

    Module 3: Sonic Approach Formula. Combine this with the Sonic Rapport Arsenal (modules 10, 11 and 12 below) and you’ll have the best rapport building techniques, bar none. Module #15: Physical Escalation Strategies.
    Was: Previous Price$3.99
    or Best Offer
  • Derek Rake – Cougar Seduction System

    Since you’re already familiar with Derek Rake’s programs, you understand that our stuff is not for every Tom, Dick and Harry. Onboarding: the essential foundational principles of seducing cougars using the Derek Rake dating philosophy.
    Was: Previous Price$3.99
    or Best Offer
  • Derek Rake – Black Book v4

    How to follow up on an Open Loop – using covert hypnosis! Tap into the weakness that every woman has and remove her inhibitions towards you. Let’s face it: if she’s hot, there will be guys out there who are waiting to pounce on her.
    Was: Previous Price$3.99
    or Best Offer
  • Alan Weiss – Super Language Practicum FAST DELIVERY

    Alan Weiss – Super Language Practicum. Create powerful sound bites. Participate in role-plays, hot seats, and live practice. Use the prep work to bring your actual “world” with you for practice. Learn how to use verbal skills to their maximum effect for your benefit.
    Was: Previous Price$8.95
    or Best Offer
  • Igor Ledochowski – Street Hypnosis MasterClass

    Mastering the little known language of dissociation so you can deal directly (and effectively) with the unconscious mind and achieve astounding results. How to really master self hypnosis to get whatever you want out of life (Most people, Even Seasoned Hypnotists, fail horribly with self hypnosis because they don’t fully understand the process).
    Was: Previous Price$8.99
    or Best Offer
  • Ross Jeffries – Stealth Persuasion Program

    The seven “Pull Their Strings/Puppet Master” Principles that form the essential foundation for any and all acts of hypnotic persuasion.
    Was: Previous Price$6.99
    or Best Offer
  • Igor Ledochowski – Mind Bending Language Roundtable Contents: Videos, Pdfs

    Access to the Mind Bending Language Roundtable training gives you…. This is what you will “absorb” from going through my new Mind Bending Language Roundtable training. Granted, if you’ve already shown an interest in mind bending language it’s fairly likely you’re also a thinker.
    Was: Previous Price$6.99
    or Best Offer
  • Jason Capital - Instagram Agent System FAST DELIVERY

    Jason Capital. Jason Capital was rejected by every good college. Your story can be next. MODULE 3 - The 7 Biggest Blocks That Will Stop You As An IG Agent (or any successful endeavor you choose in life).
    Was: Previous Price$8.95
    or Best Offer
  • Doug O’Brien – Sleight of Mouth Contents: Audios, Pdf

    The Power of Sleight of Mouth. What is Sleight of Mouth?. Sleight of Mouth is a persuasion skill, a vehicle for the reframing of beliefs. It is a system of 14 different patterns of response to a stated belief.
    Was: Previous Price$7.99
    or Best Offer
  • Derek Rake – Shogun Method Black Book Volume 3

    Module 2: Conscious Overload. How to combine the Double Bind with Pattern Interrupts as a “one-two” punch to build killer rapport with a woman. How to make a woman see you as a high-value male automatically (by manipulating her subconscious perception of you).
    Was: Previous Price$3.99
    or Best Offer
  • Derek Rake – Shogun Method For Married Men

    Conquer Your Enemy. Know Your Enemy. In Book 1, you’ll get a masterclass on how the mind of the married female works. We will arm you with the ability to understand beyond her words and actions, and know her inner thoughts that drive her behavior and emotions.
    Was: Previous Price$3.99
    or Best Offer
  • Living the Legacy 🔥 Bob Proctor 🔥 instant delivery 🔥

    What we can learn from Living the Legacy?. This is for anyone who loves Think & Grow Rich but hasn’t quite cracked the code to success. This course is going to finally bridge the gap between Think & Grow Rich and our success.
    Free shipping
    From Russian Federation
    Free shipping
    14 watching
  • Jason Capital - Conversation God & Success Installation System Training Course

    Lot for 2 Jason Capital Training Courses. In Conversation God, you’ll discover…. How to get your head into the right place to have a great conversation (and get OUT of your own head)…. How to ignite a conversation that rapidly leads to sex….
    From Russian Federation
    Free shipping
    Free shipping
  • How to Remember Your Dreams – Anthony Metivier Contents: Videos, Pdfs

    A thorough, 9-video course with 94-page Ebook. You also get two bonus videos and PDFs. In the second bonus, you learn how Anthony uses dream recall skills to write entire novels. If you’ve ever wished that you could recall every minute of the dreams that pass through your mind while sleeping, now is your chance to stop them from flashing by and hold onto them forever.
    Was: Previous Price$8.95
    or Best Offer
  • David Snyder – Hidden Laws Of Mental Dynamics

    Through these lessons, you will learn exactly how to leverage them for maximum effectiveness in any area of life that you choose. Law of Compliance. Law of Fractionation.
    Was: Previous Price$8.95
    or Best Offer
  • Infinity – iAwake Technologies – Douglas Prater FAST DELIVERY

    Infinity – iAwake Technologies – Douglas Prater. A First for iAwake Technologies. Accelerated consciousness evolution. This revolutionary program guides you into the Lambda state, propelling you to new heights of transcendent consciousness, ineffable stillness, and radiant insight.
    Was: Previous Price$8.95
    or Best Offer

Showing slide {CURRENT_SLIDE} of {TOTAL_SLIDES} - Hot This Week

Showing slide {CURRENT_SLIDE} of {TOTAL_SLIDES} - Sponsored Listings

Got one to sell?

Get it in front of 160+ million buyers.

Showing slide {CURRENT_SLIDE} of {TOTAL_SLIDES} - Make an Offer

  • Your First 100 Million by Dan Pena PDF 2nd Edit + Audio + QLA seminars (2019)
    Free shipping
    Make Offer - Your First 100 Million by Dan Pena PDF 2nd Edit + Audio + QLA seminars (2019)
  • ⚡️[5 COURSES ]Russell Brunson – Traffic Secrets ...[WORTH: $1,997] 🔥
    Free shipping
    Make Offer - ⚡️[5 COURSES ]Russell Brunson – Traffic Secrets ...[WORTH: $1,997] 🔥
  • $3.97
    Make Offer - Dark Seduction – Michael Pace
  • NLP Master Practitioner Training – Dr. Steve G. Jones
    Free shipping
    Make Offer - NLP Master Practitioner Training – Dr. Steve G. Jones
  • $3.49
    Make Offer - Igor Ledochowski – Hypnotic Inductions Revealed
  • $3.49
    Make Offer - Igor Ledochowski – Unleash the Power of Your Mind
  • $3.99
    Make Offer - Wim Hof Method
  • $3.49
    Make Offer - Kenrick Cleveland – Structure Of Thought
  • Kenrick Cleveland – The Dark Side of Covert Hypnosis
    Free shipping
    Make Offer - Kenrick Cleveland – The Dark Side of Covert Hypnosis
  • Igor Ledochowski – Conversational Hypnosis Professional Hypnotherapy 2.0
    Free shipping
    Make Offer - Igor Ledochowski – Conversational Hypnosis Professional Hypnotherapy 2.0
  • ⚡️Robin Sharma The Game Changer's Blueprint [WORTH: $499]🔥
    Free shipping
    Make Offer - ⚡️Robin Sharma The Game Changer's Blueprint [WORTH: $499]🔥
  • Kenrick Cleveland – The Double Helix Presentation Principle
    Free shipping
    Make Offer - Kenrick Cleveland – The Double Helix Presentation Principle
Tell us what you think - opens in new window or tab