Addiction

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"Addictive" redirects here. For other uses, see Addiction (disambiguation) and Addictive (disambiguation).
Addiction and dependence glossary[1][2][3]
addiction – a state characterized by compulsive engagement in rewarding stimuli despite adverse consequences
reinforcing stimuli – stimuli that increase the probability of repeating behaviors paired with them
rewarding stimuli – stimuli that the brain interprets as intrinsically positive or as something to be approached
addictive drug – a drug that is both rewarding and reinforcing
addictive behavior – a behavior that is both rewarding and reinforcing
sensitization – an amplified response to a stimulus resulting from repeated exposure to it
tolerance – the diminishing effect of a drug resulting from repeated administration at a given dose
drug sensitization or reverse tolerance – the escalating effect of a drug resulting from repeated administration at a given dose
dependence – an adaptive state associated with a withdrawal syndrome upon cessation of repeated exposure to a stimulus (e.g., drug intake)
physical dependence – dependence that involves persistent physical–somatic withdrawal symptoms (e.g., fatigue and delirium tremens)
psychological dependence – dependence that involves emotional–motivational withdrawal symptoms (e.g., dysphoria and anhedonia)
(edit | history)

Addiction is a state characterized by compulsive engagement in rewarding stimuli, despite adverse consequences.[7] It can be thought of as a disease or biological process leading to such behaviors.[1][8] The two properties that characterize all addictive stimuli are that they are reinforcing (i.e., they increase the likelihood that a person will seek repeated exposure to them) and intrinsically rewarding (i.e., something perceived as being positive or desirable).[1][3][6]

Addiction is a disorder of the brain's reward system which arises through transcriptional and epigenetic mechanisms and occurs over time from chronically high levels of exposure to an addictive stimulus (e.g., morphine, cocaine, sexual intercourse, gambling, etc.).[1][9][10] ΔFosB, a gene transcription factor, is a critical component and common factor in the development of virtually all forms of behavioral and drug addictions;[9][10][11][12] two decades of research into ΔFosB's role in addiction have demonstrated that addiction arises, and addictive behavior intensifies or attenuates, along with the genetic overexpression of ΔFosB in the D1-type medium spiny neurons of the nucleus accumbens;[1][9][10][11] due to the causal relationship between ΔFosB expression and addictions, it is used preclinically as an addiction biomarker.[1][9][11] ΔFosB expression in these neurons directly and positively regulates drug self-administration and reward sensitization through positive reinforcement, while decreasing sensitivity to aversion.[note 1][1][9]

Addiction exacts an astoundingly high toll on individuals and society as a whole through the direct adverse effects of drugs, associated healthcare costs, long-term complications (e.g., lung cancer with smoking tobacco, liver cirrhosis with drinking alcohol, or meth mouth from intravenous methamphetamine), the functional consequences of altered neural plasticity in the brain, and the consequent loss of productivity.[13][14] Classic hallmarks of addiction include impaired control over substances or behavior, preoccupation with substance or behavior, and continued use despite consequences.[15] Habits and patterns associated with addiction are typically characterized by immediate gratification (short-term reward), coupled with delayed deleterious effects (long-term costs).[16]

Examples of drug and behavioral addictions include: alcoholism, amphetamine addiction, cocaine addiction, nicotine addiction, opiate addiction, exercise addiction, food addiction, gambling addiction, and sexual addiction. The only behavioral addiction recognized by the DSM-5 is gambling addiction. The term addiction is misused frequently to refer to other compulsive behaviors or disorders, particularly dependence, in news media.[17]

Behavioral addiction[edit]

Main article: Behavioral addiction

The term behavioral addiction correctly refers to a compulsion to engage in a natural reward – which is a behavior that is inherently rewarding (i.e., desirable or appealing) – despite adverse consequences.[5][10][12] Preclinical evidence has demonstrated that that overexpression of ΔFosB through repetitive and excessive performance of a natural reward induces the same behavioral effects and neuroplasticity as occurs in a drug addiction.[10][18][19]

Reviews of both clinical research in humans and preclinical studies involving ΔFosB have identified compulsive sexual activity – specifically, any form of sexual intercourse – as an addiction (i.e., sexual addiction); moreover, reward cross-sensitization between amphetamine and sexual activity, a property in which exposure to one increases in the desire for both, has been shown to occur preclinically and clinically as a dopamine dysregulation syndrome;[10][18][19] ΔFosB expression is required for this cross-sensitization effect and it intensifies with the level of ΔFosB expression as well.[10][19]

Reviews of preclinical studies indicate that long-term frequent and excessive consumption of high fat or sugar foods can produce an addiction (food addiction or sugar addiction).[10][12] Exercise appears to be associated with an addictive state (exercise addiction),[10] but there is also significant preclinical and some clinical evidence that it prevents and can treat drug addictions, particularly those involving psychostimulants.[10][20][21]

Gambling is a natural reward which is associated with compulsive behavior and for which clinical diagnostic manuals, namely the DSM-5, have identified diagnostic criteria for an "addiction";[10] however, no research has been conducted to determine if the overexpression of ΔFosB (the 35–37 kD isoforms) is present in deceased gambling addicts to confirm that the DSM's diagnostic model correctly diagnoses an addiction instead of a compulsion. There is evidence from functional neuroimaging that gambling activates the reward system and the group of neurons where increases in ΔFosB gene expression occur in an addiction, the mesolimbic pathway.[10] Similarly, shopping and playing videogames are associated with compulsive behaviors in humans and have also been shown to activate the reward system and the mesolimbic pathway in particular.[10] Based upon this evidence, gambling addiction, video game addiction and shopping addiction are classified accordingly.[10]

Risk factors[edit]

Genetic factors[edit]

It has long been established that genetic factors along with social and psychological factors are contributors to addiction. A common theory along these lines is the self-medication hypothesis. Epidemiological studies estimate that genetic factors account for 40–60% of the risk factors for alcoholism. Similar rates of heritability for other types of drug addiction have been indicated by other studies.[22] Knestler hypothesized in 1964 that a gene or group of genes might contribute to predisposition to addiction in several ways. For example, altered levels of a normal protein due to environmental factors could then change the structure or functioning of specific brain neurons during development. These altered brain neurons could change the susceptibility of an individual to an initial drug use experience. In support of this hypothesis, animal studies have shown that environmental factors such as stress can affect an animal's genotype.[22]

Overall, the data implicating specific genes in the development of drug addiction is mixed for most genes. One reason for this may be that the case is due to a focus of current research on common variants. Many addiction studies focus on common variants with an allele frequency of greater than 5% in the general population, however when associated with disease, these only confer a small amount of additional risk with an odds ratio of 1.1–1.3 percent. On the other hand, the rare variant hypothesis states that genes with low frequencies in the population (<1%) confer much greater additional risk in the development of disease.[23]

Genome-wide association studies (GWAS) are a recently developed research method which are used to examine genetic associations with dependence, addiction, and drug use. These studies employ an unbiased approach to finding genetic associations with specific phenotypes and give equal weight to all regions of DNA, including those with no ostensible relationship to drug metabolism or response. These studies rarely identify genes from proteins previously described via animal knockout models and candidate gene analysis. Instead, large percentages of genes involved in processes such as cell adhesion are commonly identified. This is not to say that previous findings, or the GWAS findings, are erroneous. The important effects of endophenotypes are typically not capable of being captured by these methods. Furthermore, genes identified in GWAS for drug addiction may be involved either in adjusting brain behavior prior to drug experiences, subsequent to them, or both. [24]

Mechanisms[edit]

For gene-related vocabulary, see Glossary of gene expression terms; for addiction-related vocabulary, expand the glossary below.
Addiction and dependence glossary[1][2][3]
addiction – a state characterized by compulsive engagement in rewarding stimuli despite adverse consequences
reinforcing stimuli – stimuli that increase the probability of repeating behaviors paired with them
rewarding stimuli – stimuli that the brain interprets as intrinsically positive or as something to be approached
addictive drug – a drug that is both rewarding and reinforcing
addictive behavior – a behavior that is both rewarding and reinforcing
sensitization – an amplified response to a stimulus resulting from repeated exposure to it
tolerance – the diminishing effect of a drug resulting from repeated administration at a given dose
drug sensitization or reverse tolerance – the escalating effect of a drug resulting from repeated administration at a given dose
dependence – an adaptive state associated with a withdrawal syndrome upon cessation of repeated exposure to a stimulus (e.g., drug intake)
physical dependence – dependence that involves persistent physical–somatic withdrawal symptoms (e.g., fatigue and delirium tremens)
psychological dependence – dependence that involves emotional–motivational withdrawal symptoms (e.g., dysphoria and anhedonia)
(edit | history)
Signaling cascade in the nucleus accumbens that results in psychostimulant addiction
v · t · e
This diagram depicts the signaling events in the brain's reward center that are induced by chronic high-dose exposure to psychostimulants that increase the concentration of synaptic dopamine, like amphetamine, methamphetamine, and phenethylamine. Following presynaptic dopamine and glutamate co-release by such psychostimulants,[25][26] postsynaptic receptors for these neurotransmitters trigger internal signaling events through a cAMP pathway and calcium-dependent pathway that ultimately result in increased CREB phosphorylation.[27][28][29] Phosphorylated CREB increases levels of ΔFosB, which in turn represses the c-fos gene with the help of corepressors;[28] c-fos repression acts as a molecular switch that enables the accumulation of ΔFosB in the neuron.[30] A highly stable (phosphorylated) form of ΔFosB, one that persists in neurons for one or two months, slowly accumulates following repeated exposure to stimulants through this process.[31][32] ΔFosB functions as "one of the master control proteins" that produces addiction-related structural changes in the brain, and upon sufficient accumulation, with the help of its downstream targets (e.g., nuclear factor kappa B), it induces an addictive state.[31][32] Desc-20.png

Current models of addiction from chronic addictive drug use involve alterations in gene expression in the mesocorticolimbic projection.[12][33][34] The most important transcription factors that produce these alterations are ΔFosB, cyclic adenosine monophosphate (cAMP) response element binding protein (CREB), and nuclear factor kappa B (NFκB).[12] ΔFosB is the most significant gene transcription factor in addiction since its viral or genetic overexpression in the nucleus accumbens is necessary and sufficient for most of the behaviors and neural adaptations seen in drug addiction.[12] ΔFosB expression in nucleus accumbens D1-type medium spiny neurons directly and positively regulates drug self-administration and reward sensitization through positive reinforcement while decreasing sensitivity to aversion.[note 1][1][9] Specific drug addictions in which ΔFosB has been implicated in addictions to alcohol, amphetamine, cannabinoids, cocaine, methylphenidate, nicotine, phenylcyclidine, propofol, opiates, and substituted amphetamines, among others.[9][12][33][35][36] ΔJunD (a transcription factor) and G9a (an epigenetic enzyme) directly oppose ΔFosB's expression and function.[11][12] Increases in nucleus accumbens ΔJunD or G9a expression using viral vectors (a genetically engineered virus) can reduce or, with a large increase, even block and reverse many of the neural and behavioral alterations seen in chronic drug abuse (i.e., the alterations mediated by ΔFosB).[11][12]

ΔFosB also plays an important role in regulating behavioral responses to natural (non-drug) rewards, such as palatable food, sex, and exercise.[12][37] Natural rewards, like drugs of abuse, induce gene expression of ΔFosB in the nucleus accumbens, and chronic acquisition of these rewards can result in a similar pathological addictive state through ΔFosB overexpression.[12][37][10] Consequently, ΔFosB is the key transcription factor involved in addictions to natural rewards (i.e., behavioral addictions) as well;[12][10][37] in particular, ΔFosB in the nucleus accumbens is critical for the reinforcing effects of sexual reward.[37] Research on the interaction between natural and drug rewards suggests that dopaminergic psychostimulants (e.g., amphetamine) and sexual behavior act on similar biomolecular mechanisms to induce ΔFosB in the nucleus accumbens and possess bidirectional cross-sensitization effects that are mediated through ΔFosB.[10][19] This phenomenon is notable since, in humans, a dopamine dysregulation syndrome, characterized by drug-induced compulsive engagement in natural rewards (specifically, sexual activity, shopping, and gambling), has also been observed in some individuals taking dopaminergic medications.[10]

ΔFosB inhibitors (drugs or treatments that oppose its action) may be an effective treatment for addiction and addictive disorders.[38]

The release of dopamine in the nucleus accumbens plays a role in the reinforcing qualities of many forms of stimuli, including naturally reinforcing stimuli like palatable food and sex.[39][40] Altered dopamine neurotransmission is frequently observed following the development of an addictive state.[10] In humans and lab animals that have developed an addiction, alterations in dopamine or opioid neurotransmission in the nucleus accumbens and other parts of the striatum are evident.[10] Studies have found that use of certain drugs (e.g., cocaine) affect cholinergic neurons that innervate the reward system, in turn affecting dopamine signaling in this region.[41]

Summary of addiction-related plasticity[edit]

This section is transcluded from FOSB. (edit | history)
Form of neural or behavioral plasticity Type of reinforcer Sources
Opiates Psycho­stimulants High fat or sugar food Sexual reward Physical exercise
(aerobic)
Environmental
enrichment
ΔFosB expression in
nucleus accumbens D1-type MSNs
[10]
Behavioral plasticity
Escalation of intake Yes Yes Yes [10]
Psychostimulant
cross-sensitization
Yes Not applicable Yes Yes Attenuated Attenuated [10]
Psychostimulant
self-administration
[10]
Psychostimulant
conditioned place preference
[10]
Reinstatement of drug-seeking behavior [10]
Neurochemical plasticity
CREB phosphorylation
in the nucleus accumbens
[10]
Sensitized dopamine response
in the nucleus accumbens
No Yes No Yes [10]
Altered striatal dopamine signaling DRD2, ↑DRD3 DRD1, ↓DRD2, ↑DRD3 DRD1, ↓DRD2, ↑DRD3 DRD2 DRD2 [10]
Altered striatal opioid signaling μ-opioid receptors μ-opioid receptors
κ-opioid receptors
μ-opioid receptors μ-opioid receptors No change No change [10]
Changes in striatal opioid peptides dynorphin dynorphin enkephalin dynorphin dynorphin [10]
Mesocorticolimbic synaptic plasticity
Number of dendrites in the nucleus accumbens [10]
Dendritic spine density in
the nucleus accumbens
[10]

Reward system[edit]

Main article: Reward system

Mesocorticolimbic pathway[edit]

ΔFosB accumulation graph
Top: this depicts the acute expression of various Fos family proteins following an initial exposure to an addictive drug.
Bottom: this illustrates increasing ΔFosB expression from repeated twice daily drug binges, where these phosphorylated (35–37 kD) ΔFosB isoforms persist in mesolimbic dopamine neurons for up to 2 months.[42][32]

Understanding the pathways in which drugs act and how drugs can alter those pathways is key when examining the biological basis of drug addiction. The reward pathway, known as the mesolimbic pathway, or its extension, the mesocorticolimbic pathway, is characterized by the interaction of several areas of the brain.

  • The projections from the ventral tegmental area (VTA) are a network of dopaminergic neurons with co-localized postsynaptic glutamate receptors (AMPAR and NMDAR). These cells respond when stimuli indicative of a reward are present. The VTA supports learning and sensitization development and releases DA into the forebrain.[43] These neurons also project and release DA into the nucleus accumbens,[44] through the mesolimbic pathway. Virtually all drugs causing drug addiction increase the dopamine release in the mesolimbic pathway,[45] in addition to their specific effects.
  • The nucleus accumbens (NAcc) is one output of the VTA projections. The nucleus accumbens itself consists mainly of GABAergic medium spiny neurons (MSNs).[46] The NAcc is associated with acquiring and eliciting conditioned behaviors, and is involved in the increased sensitivity to drugs as addiction progresses.[43] Overexpression of ΔFosB in the nucleus accumbens is a necessary common factor in essentially all known forms of addiction;[1] ΔFosB is a strong positive modulator of positively reinforced behaviors.[1]
  • The prefrontal cortex, more specifically the anterior cingulate and orbitofrontal cortices,[47] is the other VTA output in the mesocorticolimbic pathway; it is important for the integration of information which helps determine whether a behavior will be elicited.[48]

Other brain structures that are involved in addiction include:

  • The basolateral amygdala projects into the NAcc and is thought to also be important for motivation.[48]
  • The hippocampus is involved in drug addiction, because of its role in learning and memory. Much of this evidence stems from investigations showing that manipulating cells in the hippocampus alters dopamine levels in NAcc and firing rates of VTA dopaminergic cells.[44]

Role of dopamine and glutamate[edit]

Dopamine is the primary neurotransmitter of the reward system in the brain. It plays a role in regulating movement, emotion, cognition, motivation, and feelings of pleasure.[49] Natural rewards, like eating, as well as recreational drug use cause a release of dopamine, and are associated with the reinforcing nature of these stimuli.[49][50] Nearly all addictive drugs, directly or indirectly, act upon the brain’s reward system by heightening dopaminergic activity.[51]

Excessive intake of many types of addictive drugs results in repeated release of high amounts of dopamine, which in turn affects the reward pathway directly through heightened dopamine receptor activation. Prolonged and abnormally high levels of dopamine in the synaptic cleft can induce receptor downregulation in the neural pathway. Downregulation of mesolimbic dopamine receptors can result in a decrease in the sensitivity to natural reinforcers.[49]

Drug seeking behavior is induced by glutamatergic projections from the prefrontal cortex to the nucleus accumbens. This idea is supported with data from experiments showing that drug seeking behavior can be prevented following the inhibition of AMPA glutamate receptors and glutamate release in the nucleus accumbens.[47]

Reward sensitization[edit]

Neural and behavioral effects of validated ΔFosB transcriptional targets[9][52]
Target
gene
Target
expression
Neural effects Behavioral effects
c-Fos Molecular switch enabling the chronic
induction of ΔFosB[note 2]
dynorphin
[note 3]
 • Downregulation of κ-opioid feedback loop  • Increased drug reward
NF-κB  • Expansion of NAcc dendritic processes
 • NF-κB inflammatory response in the NAcc
 • NF-κB inflammatory response in the CP
 • Increased drug reward
 • Increased drug reward
 • Locomotor sensitization
GluR2  • Decreased sensitivity to glutamate  • Increased drug reward
Cdk5  • GluR1 synaptic protein phosphorylation
 • Expansion of NAcc dendritic processes
Decreased drug reward
(net effect)

Sensitization, or reverse tolerance, is the increase in response to a property of a stimulus (e.g., a drug) after repeated exposure. The protein ΔFosB (Delta-FosB) is known to positively regulate reward sensitization (i.e., higher levels of ΔFosB increases both drug reward and behavioral reward); in simple terms, ΔFosB-mediated reward sensitization increases an individual's desire to use addictive drugs or perform the addictive behaviors.[1][11] In contrast to ΔFosB's reward-sensitizing effect, CREB transcriptional activity decreases user's sensitivity to the rewarding effects of the substance. CREB transcriptional activity in the nucleus accumbens is implicated in psychological dependence and the symptoms involving lack of pleasure or motivation during drug withdrawal. In an addiction, the intensity of addictive behavior following a relapse (i.e., patterns and levels of drug self-administration) does not noticeably attenuate (i.e., undergo psychological extinction) after several weeks of withdrawal due to the stability of certain ΔFosB isoforms which slowly accumulate during the development of an addiction (i.e., from frequent high-dose use of an addictive drug for an extended period); these isoforms remain activate in neurons for 1–2 months after drug use stops and are responsible for the persistence of these behaviors.[1][42][52]

The set of proteins known as "regulators of G protein signaling" (RGS) have been implicated in modulating some of the sensitization effects of opioid drugs.[53] RGS9-2 is an example of an RGS protein implicated in this effect.[53]

Diagnosis[edit]

The 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) uses the term "Substance Use Disorder" to refer to a spectrum of use-related conditions. The DSM-5 eliminates the terms "abuse" and "dependence" from diagnostic categories, instead using the specifiers of "mild", "moderate" and "severe" to indicate the extent of disordered use. Specifiers are determined by the number of diagnostic criteria present in a given case. The manual has never actually used the term "addiction" clinically.[54] Currently, only drug addictions and gambling addiction are listed in the DSM-5. Past editions have used physical dependence and the associated withdrawal syndrome to identify an addictive state. Physical dependence occurs when the body has adjusted by incorporating the substance into its "normal" functioning – i.e., attains homeostasis – and therefore physical withdrawal symptoms occur upon cessation of use.[55] Tolerance is the process by which the body continually adapts to the substance and requires increasingly larger amounts to achieve the original effects. Withdrawal refers to physical and psychological symptoms experienced when reducing or discontinuing a substance that the body has become dependent on. Symptoms of withdrawal generally include but are not limited to anxiety, irritability, intense cravings for the substance, nausea, hallucinations, headaches, cold sweats, and tremors.

The director of the United States National Institute of Mental Health discussed the invalidity of the DSM-5's classification of mental disorders, writing:[56]

While DSM has been described as a “Bible” for the field, it is, at best, a dictionary, creating a set of labels and defining each. The strength of each of the editions of DSM has been “reliability” – each edition has ensured that clinicians use the same terms in the same ways. The weakness is its lack of validity. Unlike our definitions of ischemic heart disease, lymphoma, or AIDS, the DSM diagnoses are based on a consensus about clusters of clinical symptoms, not any objective laboratory measure. In the rest of medicine, this would be equivalent to creating diagnostic systems based on the nature of chest pain or the quality of fever.

The flawed and arbitrary nature of the DSM addiction classifications has also been criticized by medical researchers who actively study addiction pathophysiology.[57]

As a diagnostic biomarker, ΔFosB expression could be used to diagnose an addiction in humans, but this would require a brain biopsy and therefore isn't used in clinical practice.

Management[edit]

Furthermore, in order to be effective, all pharmacological or biologically based treatments for addiction need to be integrated into other established forms of addiction rehabilitation, such as cognitive behavioral therapy, individual and group psychotherapy, behavior-modification strategies, twelve-step programs, and residential treatment facilities.

Taylor SB, Lewis CR, Olive MF (2013). "The neurocircuitry of illicit psychostimulant addiction: acute and chronic effects in humans". Subst. Abuse Rehabil. 4: 29–43. PMC 3931688. 

Medication[edit]

As of May 2014, there is no effective pharmacotherapy for any form of psychostimulant addiction.[58][59][60][6] According to a Cochrane Collaboration review, the opioid antagonist naltrexone has short-term efficacy treating an alcohol dependence–withdrawal syndrome, but evidence of longer term efficacy is lacking.[61]

In addition to the traditional behavioral self-help groups and programs available for rehabilitation, there is a varied array of preventive and therapeutic approaches to combating addiction. For example, a common treatment option for opiate addiction is methadone maintenance. This process consists of administering the drug, a potent opiate with some potential for abuse, as a drink in a supervised clinical setting. In this way, the brain opiate levels increase slowly without producing the high but remain in the system long enough to deter addicts from injecting heroin.

Another form of drug therapy involves buprenorphine, a drug which seems to be even more promising than methadone.[62] A partial agonist for certain opiate receptors, this treatment blocks the effects of opiates but produces only mild reactions itself. Moreover, this method of detoxification has little value in the drug market.

New research indicates that it may even be possible to develop antibodies which combat a particular drug's effect on the brain, rendering the pleasurable effects null. Recently, vaccines have been developed against cocaine, heroin, methamphetamine, and nicotine. These advances are already being tested in human clinical trials and show serious promise as a preventive and recovery measure for addicts or those prone to addiction.[63][64]

Furthermore, another method of treatment for addiction that is being studied is deep brain stimulation. A serious procedure, DBS targets several brain regions including the nucleus accumbens, subthalamic nucleus, dorsal striatum, and medial prefrontal cortex among others.[65] Other studies have concurred and demonstrated that stimulation of the nucleus accumbens, an area that is apparently one of the most promising regions, allowed a seventy-year-old man to stop smoking without issue and attain a normal weight.[66]

Other forms of treatment include replacement drugs such as suboxone or subutex (both containing the active ingredient buprenorphine) and methadone; these are used as substitutes for illicit opiate drugs.[67][68] Although these drugs perpetuate physical dependence, the goal of opiate maintenance is to provide a clinically supervised, stable dose of a particular opioid in order to provide a measure of control to both pain and cravings. This provides a chance for the addict to function normally and to reduce the negative consequences associated with obtaining sufficient quantities of controlled substances illicitly, by both reducing opioid cravings and withdrawal symptomology. Once a prescribed dosage is stabilized, treatment enters maintenance or tapering phases. In the United States, opiate replacement therapy is tightly regulated in methadone clinics and under the DATA 2000 legislation. In some countries, other opioid derivatives such as levomethadyl acetate,[69] dihydrocodeine,[70] dihydroetorphine[71] and even heroin[72][73] are used as substitute drugs for illegal street opiates, with different drugs being used depending on the needs of the individual patient. Baclofen has been shown successful in attenuating cravings for most drugs of abuse – stimulants, ethanol, and opioids – and also attenuates the actual withdrawal syndrome of ethanol. Many patients have stated they "became indifferent to alcohol" or "indifferent to cocaine" overnight after starting baclofen therapy.[74] It is possible that one of the best, albeit relatively unexplored, treatment modalities for opioid addiction – notoriously the most difficult addiction to treat (and to recover from), having relapse rates of around 23% at four weeks and 57% at twelve months if not on maintenance therapy with a mu-opioid agonist[74] – would be to combine an opioid maintenance agent, such as methadone or buprenorphine, to block withdrawal symptomology, with baclofen, to attenuate cravings and the desire to use, in people who find that they are still using or still craving drugs while on methadone or buprenorphine maintenance.

Other pharmacological treatments for alcohol addiction include drugs like naltrexone, disulfiram, acamprosate and topiramate,[75][76] but rather than substituting for alcohol, these drugs are intended to reduce the desire to drink, either by directly reducing cravings as with acamprosate and topiramate, or by producing unpleasant effects when alcohol is consumed, as with disulfiram. These drugs can be effective if treatment is maintained, but compliance can be an issue as alcoholic patients often forget to take their medication, or discontinue use because of excessive side effects.[77][78] Additional drugs acting on glutamate neurotransmission such as modafinil, lamotrigine, gabapentin and memantine have also been proposed for use in treating addiction to alcohol and other drugs.[79]

Another area in which drug treatment has been widely used is in the treatment of nicotine addiction. Various drugs have been used for this purpose such as bupropion, mecamylamine and the more recently developed varenicline. The cannaboinoid antagonist rimonabant has also been trialled for treatment of nicotine addiction but has not been widely adopted for this purpose.[80][81][82]

Ibogaine is a hallucinogen (psychotomimetic) that some claim interrupts addiction and reduces or eliminates withdrawal syndromes, specifically in regards to opioids.[83] Its mechanism of action is unknown, but likely linked to nAchR α3ß4 antagonism. In one animal trial, it was shown to slightly reduce self-administration of cocaine.[84] Another uncontrolled trial showed it reduced tremor by a mild to moderate degree during morphine withdrawal in rats.[85] These finding can not be extrapolated to human beings with any certainty. Research is complicated by the fact that ibogaine is illegal in many developed countries, and a Schedule I substance in the US, and as a result no controlled human trials have ever been performed. A semi-synthetic analogue of ibogaine, 18-methoxycoronaridine was developed, in an attempt to reduce the toxic (ibogaine is significantly cardiotoxic, and several deaths have been reported from its use; because of its illegal, underground nature, it is impossible to know how toxic the drug is) and psychotomimetic effects of the drug.

Epidemiology[edit]

Due to cultural variations, the proportion of individuals who develop a drug or behavioral addiction within a specified time period (i.e., the prevalence) varies over time, by country, and across national population demographics (e.g., by age group, socioeconomic status, etc.).

United States[edit]

Based upon representative samples of the US youth population in 2011, the lifetime prevalence[note 4] of addictions to alcohol and illicit drugs has been estimated to be approximately 8% and 2–3% respectively.[14] Based upon representative samples of US adult population in 2011, the 12 month prevalence of alcohol and illicit drug addictions were estimated at roughly 12% and 2–3% respectively.[14] The 12 month and lifetime prevalence of prescription drug addictions is currently unknown.

Another review listed estimates of lifetime prevalence rates for several behavioral addictions in the United States, including 1–2% for compulsive gambling, 5% for sexual addiction, 2.8% for food addiction, and 5–6% for compulsive shopping.[10] A systematic review indicated that the time-invariant prevalence rate for sexual addiction and related compulsive sexual behavior (e.g., compulsive masturbation with or without pornography, compulsive cybersex, etc.) within the United States ranges from 3–6% of the population.[18]

Personality theories of addiction[edit]

Personality theories of addiction are psychological models that associate personality traits or modes of thinking (i.e., affective states) with an individual's proclivity for pathological uses of addictive drugs and in turn, developing an addiction. Models of addiction risk that have been proposed in psychology literature include an affect dysregulation model of positive and negative psychological affects, the reinforcement sensitivity theory model of impulsiveness and behavioral inhibition, and an impulsivity model of reward sensitization and impulsiveness.[86][90][91]

Notes[edit]

  1. ^ a b A decrease in aversion sensitivity, in simpler terms, essentially means that an individual is less likely to be concerned with undesirable outcomes.
  2. ^ In other words, c-Fos repression allows ΔFosB to accumulate within nucleus accumbens dopamine neurons more rapidly because it is selectively induced in this state.[1]
  3. ^ According to two medical reviews, ΔFosB has been implicated in causing both increases and decreases in dynorphin expression in different studies;[9][52] this table entry reflects only a decrease.
  4. ^ The lifetime prevalence of an addiction is the percentage of individuals in a population (the one which the sample represents) that developed an addiction at some point in their life, at time of assessment.

Image legend[edit]

References[edit]

  1. ^ a b c d e f g h i j k l m n o Nestler EJ (December 2013). "Cellular basis of memory for addiction". Dialogues Clin. Neurosci. 15 (4): 431–443. PMC 3898681. PMID 24459410. 
  2. ^ a b Malenka RC,Nestler EJ, Hyman SE (2009). "Chapter 15: Reinforcement and Addictive Disorders". In Sydor A, Brown RY. Molecular Neuropharmacology: A Foundation for Clinical Neuroscience (2nd ed.). New York: McGraw-Hill Medical. pp. 364–375. ISBN 9780071481274. 
  3. ^ a b c d "Glossary of Terms". Mount Sinai School of Medicine. Department of Neuroscience. Retrieved 9 February 2015. 
  4. ^ Angres DH, Bettinardi-Angres K (October 2008). "The disease of addiction: origins, treatment, and recovery". Dis Mon 54 (10): 696–721. doi:10.1016/j.disamonth.2008.07.002. PMID 18790142. 
  5. ^ a b Malenka RC, Nestler EJ, Hyman SE (2009). "Chapter 15: Reinforcement and Addictive Disorders". In Sydor A, Brown RY. Molecular Neuropharmacology: A Foundation for Clinical Neuroscience (2nd ed.). New York: McGraw-Hill Medical. pp. 364–365, 375. ISBN 9780071481274. The defining feature of addiction is compulsive, out-of-control drug use, despite negative consequences. ...
    compulsive eating, shopping, gambling, and sex–so-called “natural addictions”–  Indeed, addiction to both drugs and behavioral rewards may arise from similar dysregulation of the mesolimbic dopamine system.
     
  6. ^ a b c Taylor SB, Lewis CR, Olive MF (February 2013). "The neurocircuitry of illicit psychostimulant addiction: acute and chronic effects in humans". Subst. Abuse Rehabil. 4: 29–43. doi:10.2147/SAR.S39684. PMC 3931688. PMID 24648786. Initial drug use can be attributed to the ability of the drug to act as a reward (ie, a pleasurable emotional state or positive reinforcer), which can lead to repeated drug use and dependence.8,9 A great deal of research has focused on the molecular and neuroanatomical mechanisms of the initial rewarding or reinforcing effect of drugs of abuse. ...
    The tremendous need for more effective pharmacological treatments for psychostimulant addiction is a mainstay of contemporary addiction research. However, the recent downsizing of many major pharmaceutical companies away from psychiatric indications (including addiction) due to the lack of efficacy of experimental compounds in humans may require a sea change in the translational research approach.212,213 A new emphasis on larger-scale biomarker, genetic, and epigenetic research focused on the molecular targets of mental disorders has been recently advocated.212 In addition, the integration of cognitive and behavioral modification of circuit-wide neuroplasticity (ie, computer-based training to enhance executive function) may prove to be an effective adjunct-treatment approach for addiction, particularly when combined with cognitive enhancers.198,213–216 Furthermore, in order to be effective, all pharmacological or biologically based treatments for addiction need to be integrated into other established forms of addiction rehabilitation, such as cognitive behavioral therapy, individual and group psychotherapy, behavior-modification strategies, twelve-step programs, and residential treatment facilities.
     
  7. ^ [1][3][4][5][6]
  8. ^ American Society for Addiction Medicine (2012). "Definition of Addiction". 
  9. ^ a b c d e f g h i Ruffle JK (November 2014). "Molecular neurobiology of addiction: what's all the (Δ)FosB about?". Am J Drug Alcohol Abuse 40 (6): 428–437. doi:10.3109/00952990.2014.933840. PMID 25083822.
    The strong correlation between chronic drug exposure and ΔFosB provides novel opportunities for targeted therapies in addiction (118), and suggests methods to analyze their efficacy (119). Over the past two decades, research has progressed from identifying ΔFosB induction to investigating its subsequent action (38). It is likely that ΔFosB research will now progress into a new era – the use of ΔFosB as a biomarker. ...

    Conclusions
    ΔFosB is an essential transcription factor implicated in the molecular and behavioral pathways of addiction following repeated drug exposure. The formation of ΔFosB in multiple brain regions, and the molecular pathway leading to the formation of AP-1 complexes is well understood. The establishment of a functional purpose for ΔFosB has allowed further determination as to some of the key aspects of its molecular cascades, involving effectors such as GluR2 (87,88), Cdk5 (93) and NFkB (100). Moreover, many of these molecular changes identified are now directly linked to the structural, physiological and behavioral changes observed following chronic drug exposure (60,95,97,102). New frontiers of research investigating the molecular roles of ΔFosB have been opened by epigenetic studies, and recent advances have illustrated the role of ΔFosB acting on DNA and histones, truly as a ‘‘molecular switch’’ (34). As a consequence of our improved understanding of ΔFosB in addiction, it is possible to evaluate the addictive potential of current medications (119), as well as use it as a biomarker for assessing the efficacy of therapeutic interventions (121,122,124). Some of these proposed interventions have limitations (125) or are in their infancy (75). However, it is hoped that some of these preliminary findings may lead to innovative treatments, which are much needed in addiction.
     
  10. ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab ac ad ae af ag ah Olsen CM (December 2011). "Natural rewards, neuroplasticity, and non-drug addictions". Neuropharmacology 61 (7): 1109–1122. doi:10.1016/j.neuropharm.2011.03.010. PMC 3139704. PMID 21459101. Functional neuroimaging studies in humans have shown that gambling (Breiter et al, 2001), shopping (Knutson et al, 2007), orgasm (Komisaruk et al, 2004), playing video games (Koepp et al, 1998; Hoeft et al, 2008) and the sight of appetizing food (Wang et al, 2004a) activate many of the same brain regions (i.e., the mesocorticolimbic system and extended amygdala) as drugs of abuse (Volkow et al, 2004). ... Cross-sensitization is also bidirectional, as a history of amphetamine administration facilitates sexual behavior and enhances the associated increase in NAc DA ... As described for food reward, sexual experience can also lead to activation of plasticity-related signaling cascades. The transcription factor delta FosB is increased in the NAc, PFC, dorsal striatum, and VTA following repeated sexual behavior (Wallace et al., 2008; Pitchers et al., 2010b). This natural increase in delta FosB or viral overexpression of delta FosB within the NAc modulates sexual performance, and NAc blockade of delta FosB attenuates this behavior (Hedges et al, 2009; Pitchers et al., 2010b). Further, viral overexpression of delta FosB enhances the conditioned place preference for an environment paired with sexual experience (Hedges et al., 2009). ... In some people, there is a transition from “normal” to compulsive engagement in natural rewards (such as food or sex), a condition that some have termed behavioral or non-drug addictions (Holden, 2001; Grant et al., 2006a). ... In humans, the role of dopamine signaling in incentive-sensitization processes has recently been highlighted by the observation of a dopamine dysregulation syndrome in some patients taking dopaminergic drugs. This syndrome is characterized by a medication-induced increase in (or compulsive) engagement in non-drug rewards such as gambling, shopping, or sex (Evans et al, 2006; Aiken, 2007; Lader, 2008)."
     Table 1"
  11. ^ a b c d e f Biliński P, Wojtyła A, Kapka-Skrzypczak L, Chwedorowicz R, Cyranka M, Studziński T (2012). "Epigenetic regulation in drug addiction". Ann. Agric. Environ. Med. 19 (3): 491–496. PMID 23020045. For these reasons, ΔFosB is considered a primary and causative transcription factor in creating new neural connections in the reward centre, prefrontal cortex, and other regions of the limbic system. This is reflected in the increased, stable and long-lasting level of sensitivity to cocaine and other drugs, and tendency to relapse even after long periods of abstinence. These newly constructed networks function very efficiently via new pathways as soon as drugs of abuse are further taken ... In this way, the induction of CDK5 gene expression occurs together with suppression of the G9A gene coding for dimethyltransferase acting on the histone H3. A feedback mechanism can be observed in the regulation of these 2 crucial factors that determine the adaptive epigenetic response to cocaine. This depends on ΔFosB inhibiting G9a gene expression, i.e. H3K9me2 synthesis which in turn inhibits transcription factors for ΔFosB. For this reason, the observed hyper-expression of G9a, which ensures high levels of the dimethylated form of histone H3, eliminates the neuronal structural and plasticity effects caused by cocaine by means of this feedback which blocks ΔFosB transcription 
  12. ^ a b c d e f g h i j k l Robison AJ, Nestler EJ (November 2011). "Transcriptional and epigenetic mechanisms of addiction". Nat. Rev. Neurosci. 12 (11): 623–637. doi:10.1038/nrn3111. PMC 3272277. PMID 21989194. ΔFosB has been linked directly to several addiction-related behaviors ... Importantly, genetic or viral overexpression of ΔJunD, a dominant negative mutant of JunD which antagonizes ΔFosB- and other AP-1-mediated transcriptional activity, in the NAc or OFC blocks these key effects of drug exposure14,22–24. This indicates that ΔFosB is both necessary and sufficient for many of the changes wrought in the brain by chronic drug exposure. ΔFosB is also induced in D1-type NAc MSNs by chronic consumption of several natural rewards, including sucrose, high fat food, sex, wheel running, where it promotes that consumption14,26–30. This implicates ΔFosB in the regulation of natural rewards under normal conditions and perhaps during pathological addictive-like states. 
  13. ^ Malenka RC, Nestler EJ, Hyman SE (2009). "Chapter 1: Basic Principles of Neuropharmacology". In Sydor A, Brown RY. Molecular Neuropharmacology: A Foundation for Clinical Neuroscience (2nd ed.). New York: McGraw-Hill Medical. p. 4. ISBN 9780071481274. Drug abuse and addiction exact an astoundingly high financial and human toll on society through direct adverse effects, such as lung cancer and hepatic cirrhosis, and indirect adverse effects—for example, accidents and AIDS—on health and productivity. 
  14. ^ a b c KR Merikangas KR, McClair VL (June 2012). "Epidemiology of Substance Use Disorders". Hum. Genet. 131 (6): 779–789. doi:10.1007/s00439-012-1168-0. PMC 4408274. PMID 22543841. 
  15. ^ Morse RM, Flavin DK (August 1992). "The definition of alcoholism. The Joint Committee of the National Council on Alcoholism and Drug Dependence and the American Society of Addiction Medicine to Study the Definition and Criteria for the Diagnosis of Alcoholism". JAMA 268 (8): 1012–4. doi:10.1001/jama.1992.03490080086030. PMID 1501306. 
  16. ^ Marlatt GA, Baer JS, Donovan DM, Kivlahan DR (1988). "Addictive behaviors: etiology and treatment". Annu Rev Psychol 39: 223–52. doi:10.1146/annurev.ps.39.020188.001255. PMID 3278676. 
  17. ^ American Psychiatric Association (2013). "Substance-Related and Addictive Disorders" (PDF). American Psychiatric Publishing. pp. 1–2. Retrieved 10 July 2015. Additionally, the diagnosis of dependence caused much confusion. Most people link dependence with “addiction” when in fact dependence can be a normal body response to a substance. 
  18. ^ a b c Karila L, Wéry A, Weinstein A, Cottencin O, Petit A, Reynaud M, Billieux J (2014). "Sexual addiction or hypersexual disorder: different terms for the same problem? A review of the literature". Curr. Pharm. Des. 20 (25): 4012–4020. PMID 24001295. Sexual addiction, which is also known as hypersexual disorder, has largely been ignored by psychiatrists, even though the condition causes serious psychosocial problems for many people. A lack of empirical evidence on sexual addiction is the result of the disease's complete absence from versions of the Diagnostic and Statistical Manual of Mental Disorders. ... Existing prevalence rates of sexual addiction-related disorders range from 3% to 6%. Sexual addiction/hypersexual disorder is used as an umbrella construct to encompass various types of problematic behaviors, including excessive masturbation, cybersex, pornography use, sexual behavior with consenting adults, telephone sex, strip club visitation, and other behaviors. The adverse consequences of sexual addiction are similar to the consequences of other addictive disorders. Addictive, somatic and psychiatric disorders coexist with sexual addiction. In recent years, research on sexual addiction has proliferated, and screening instruments have increasingly been developed to diagnose or quantify sexual addiction disorders. In our systematic review of the existing measures, 22 questionnaires were identified. As with other behavioral addictions, the appropriate treatment of sexual addiction should combine pharmacological and psychological approaches. 
  19. ^ a b c d Pitchers KK, Vialou V, Nestler EJ, Laviolette SR, Lehman MN, Coolen LM (February 2013). "Natural and drug rewards act on common neural plasticity mechanisms with ΔFosB as a key mediator". J. Neurosci. 33 (8): 3434–3442. doi:10.1523/JNEUROSCI.4881-12.2013. PMC 3865508. PMID 23426671. Drugs of abuse induce neuroplasticity in the natural reward pathway, specifically the nucleus accumbens (NAc), thereby causing development and expression of addictive behavior. ... Together, these findings demonstrate that drugs of abuse and natural reward behaviors act on common molecular and cellular mechanisms of plasticity that control vulnerability to drug addiction, and that this increased vulnerability is mediated by ΔFosB and its downstream transcriptional targets. ... Sexual behavior is highly rewarding (Tenk et al., 2009), and sexual experience causes sensitized drug-related behaviors, including cross-sensitization to amphetamine (Amph)-induced locomotor activity (Bradley and Meisel, 2001; Pitchers et al., 2010a) and enhanced Amph reward (Pitchers et al., 2010a). Moreover, sexual experience induces neural plasticity in the NAc similar to that induced by psychostimulant exposure, including increased dendritic spine density (Meisel and Mullins, 2006; Pitchers et al., 2010a), altered glutamate receptor trafficking, and decreased synaptic strength in prefrontal cortex-responding NAc shell neurons (Pitchers et al., 2012). Finally, periods of abstinence from sexual experience were found to be critical for enhanced Amph reward, NAc spinogenesis (Pitchers et al., 2010a), and glutamate receptor trafficking (Pitchers et al., 2012). These findings suggest that natural and drug reward experiences share common mechanisms of neural plasticity 
  20. ^ Lynch WJ, Peterson AB, Sanchez V, Abel J, Smith MA (September 2013). "Exercise as a novel treatment for drug addiction: a neurobiological and stage-dependent hypothesis". Neurosci. Biobehav. Rev. 37 (8): 1622–1644. doi:10.1016/j.neubiorev.2013.06.011. PMC 3788047. PMID 23806439. exercise can affect dopaminergic signaling at many different levels, which may underlie its ability to modify vulnerability during drug use initiation. Exercise also produces neuroadaptations that may influence an individual's vulnerability to initiate drug use. ... Exercise has been proposed as a treatment for drug addiction that may reduce drug craving and risk of relapse. Although few clinical studies have investigated the efficacy of exercise for preventing relapse, the few studies that have been conducted generally report a reduction in drug craving and better treatment outcomes ... Taken together, these data suggest that the potential benefits of exercise during relapse, particularly for relapse to psychostimulants, may be mediated via chromatin remodeling and possibly lead to greater treatment outcomes. 
  21. ^ Linke SE, Ussher M (January 2015). "Exercise-based treatments for substance use disorders: evidence, theory, and practicality". Am. J. Drug Alcohol Abuse 41 (1): 7–15. doi:10.3109/00952990.2014.976708. PMID 25397661. The limited research conducted suggests that exercise may be an effective adjunctive treatment for SUDs. In contrast to the scarce intervention trials to date, a relative abundance of literature on the theoretical and practical reasons supporting the investigation of this topic has been published. ... numerous theoretical and practical reasons support exercise-based treatments for SUDs, including psychological, behavioral, neurobiological, nearly universal safety profile, and overall positive health effects. 
  22. ^ a b Kendler KS, Neale MC, Heath AC, Kessler RC, Eaves LJ (May 1994). "A twin-family study of alcoholism in women". Am J Psychiatry 151 (5): 707–15. PMID 8166312. 
  23. ^ Clarke, Toni-Kim; Crist, Richard C.; Kampman, Kyle M.; Dackis, Charles A.; Pettinati, Helen M.; O’Brien, Charles P.; Oslin, David W.; Ferraro, Thomas N.; Lohoff, Falk W.; Berrettini, Wade H. (May 2013). "Low frequency genetic variants in the μ-opioid receptor (OPRM1) affect risk for addiction to heroin and cocaine". Neuroscience Letters 542: 71–75. doi:10.1016/j.neulet.2013.02.018. 
  24. ^ Hall, F. Scott; Drgonova, Jana; Jain, Siddharth; Uhl, George R. (December 2013). "Implications of genome wide association studies for addiction: Are our a priori assumptions all wrong?". Pharmacology & Therapeutics 140 (3): 267–279. doi:10.1016/j.pharmthera.2013.07.006. 
  25. ^ Broussard JI (January 2012). "Co-transmission of dopamine and glutamate". J. Gen. Physiol. 139 (1): 93–96. doi:10.1085/jgp.201110659. PMC 3250102. PMID 22200950. 
  26. ^ Descarries L, Berube-Carriere N, Riad M, Bo GD, Mendez JA, Trudeau LE (August 2008). "Glutamate in dopamine neurons: synaptic versus diffuse transmission". Brain Res. Rev. 58 (2): 290–302. doi:10.1016/j.brainresrev.2007.10.005. PMID 18042492. 
  27. ^ Kanehisa Laboratories (10 October 2014). "Amphetamine – Homo sapiens (human)". KEGG Pathway. Retrieved 31 October 2014. 
  28. ^ a b Renthal W, Nestler EJ (September 2009). "Chromatin regulation in drug addiction and depression". Dialogues Clin. Neurosci. 11 (3): 257–268. PMC 2834246. PMID 19877494. Retrieved 21 July 2014. 
  29. ^ Cadet JL, Brannock C, Jayanthi S, Krasnova IN (2015). "Transcriptional and epigenetic substrates of methamphetamine addiction and withdrawal: evidence from a long-access self-administration model in the rat". Mol. Neurobiol. 51 (2): 696–717. doi:10.1007/s12035-014-8776-8. PMC 4359351. PMID 24939695. Figure 1 
  30. ^ Nestler EJ (October 2008). "Review. Transcriptional mechanisms of addiction: role of DeltaFosB". Philos. Trans. R. Soc. Lond., B, Biol. Sci. 363 (1507): 3245–3255. doi:10.1098/rstb.2008.0067. PMC 2607320. PMID 18640924. 
  31. ^ a b Robison AJ, Nestler EJ (November 2011). "Transcriptional and epigenetic mechanisms of addiction". Nat. Rev. Neurosci. 12 (11): 623–637. doi:10.1038/nrn3111. PMC 3272277. PMID 21989194. ΔFosB serves as one of the master control proteins governing this structural plasticity. 
  32. ^ a b c Nestler EJ (December 2012). "Transcriptional mechanisms of drug addiction". Clin. Psychopharmacol. Neurosci. 10 (3): 136–143. doi:10.9758/cpn.2012.10.3.136. PMC 3569166. PMID 23430970. The 35-37 kD ΔFosB isoforms accumulate with chronic drug exposure due to their extraordinarily long half-lives. ... As a result of its stability, the ΔFosB protein persists in neurons for at least several weeks after cessation of drug exposure. ... ΔFosB overexpression in nucleus accumbens induces NFκB 
  33. ^ a b Hyman SE, Malenka RC, Nestler EJ (2006). "Neural mechanisms of addiction: the role of reward-related learning and memory". Annu. Rev. Neurosci. 29: 565–598. doi:10.1146/annurev.neuro.29.051605.113009. PMID 16776597. 
  34. ^ Steiner H, Van Waes V (January 2013). "Addiction-related gene regulation: risks of exposure to cognitive enhancers vs. other psychostimulants". Prog. Neurobiol. 100: 60–80. doi:10.1016/j.pneurobio.2012.10.001. PMC 3525776. PMID 23085425. 
  35. ^ Kanehisa Laboratories (2 August 2013). "Alcoholism – Homo sapiens (human)". KEGG Pathway. Retrieved 10 April 2014. 
  36. ^ Kim Y, Teylan MA, Baron M, Sands A, Nairn AC, Greengard P (February 2009). "Methylphenidate-induced dendritic spine formation and DeltaFosB expression in nucleus accumbens". Proc. Natl. Acad. Sci. U.S.A. 106 (8): 2915–2920. doi:10.1073/pnas.0813179106. PMC 2650365. PMID 19202072. 
  37. ^ a b c d Blum K, Werner T, Carnes S, Carnes P, Bowirrat A, Giordano J, Oscar-Berman M, Gold M (2012). "Sex, drugs, and rock 'n' roll: hypothesizing common mesolimbic activation as a function of reward gene polymorphisms". J. Psychoactive Drugs 44 (1): 38–55. doi:10.1080/02791072.2012.662112. PMC 4040958. PMID 22641964. It has been found that deltaFosB gene in the NAc is critical for reinforcing effects of sexual reward. Pitchers and colleagues (2010) reported that sexual experience was shown to cause DeltaFosB accumulation in several limbic brain regions including the NAc, medial pre-frontal cortex, VTA, caudate, and putamen, but not the medial preoptic nucleus. Next, the induction of c-Fos, a downstream (repressed) target of DeltaFosB, was measured in sexually experienced and naive animals. The number of mating-induced c-Fos-IR cells was significantly decreased in sexually experienced animals compared to sexually naive controls. Finally, DeltaFosB levels and its activity in the NAc were manipulated using viral-mediated gene transfer to study its potential role in mediating sexual experience and experience-induced facilitation of sexual performance. Animals with DeltaFosB overexpression displayed enhanced facilitation of sexual performance with sexual experience relative to controls. In contrast, the expression of DeltaJunD, a dominant-negative binding partner of DeltaFosB, attenuated sexual experience-induced facilitation of sexual performance, and stunted long-term maintenance of facilitation compared to DeltaFosB overexpressing group. Together, these findings support a critical role for DeltaFosB expression in the NAc in the reinforcing effects of sexual behavior and sexual experience-induced facilitation of sexual performance. ... both drug addiction and sexual addiction represent pathological forms of neuroplasticity along with the emergence of aberrant behaviors involving a cascade of neurochemical changes mainly in the brain's rewarding circuitry. 
  38. ^ Malenka RC, Nestler EJ, Hyman SE (2009). "Chapter 15: Reinforcement and addictive disorders". In Sydor A, Brown RY. Molecular Neuropharmacology: A Foundation for Clinical Neuroscience (2nd ed.). New York: McGraw-Hill Medical. pp. 384–385. ISBN 9780071481274. 
  39. ^ Salamone, J.D. (1992). "Complex motor and sensorimotor function of striatal and accumbens dopamine: Involvement in instrumental behavior processes". Psychopharmacology 107: 160–174. doi:10.1007/bf02245133. 
  40. ^ Kauer, J.A.; R.C. Malenka (2007). "Synaptic plasticity and addiction". Nature Reviews Neuroscience 8 (11): 844–858. doi:10.1038/nrn2234. PMID 17948030. 
  41. ^ Witten, I; S.-C. Lin; M Brodsky (2010). "Cholinergic interneurons control local circuit activity and cocaine conditioning". Science 330: 1677–1681. doi:10.1126/science.1193771. 
  42. ^ a b Nestler EJ, Barrot M, Self DW (September 2001). "DeltaFosB: a sustained molecular switch for addiction". Proc. Natl. Acad. Sci. U.S.A. 98 (20): 11042–11046. doi:10.1073/pnas.191352698. PMC 58680. PMID 11572966. Although the ΔFosB signal is relatively long-lived, it is not permanent. ΔFosB degrades gradually and can no longer be detected in brain after 1–2 months of drug withdrawal ... Indeed, ΔFosB is the longest-lived adaptation known to occur in adult brain, not only in response to drugs of abuse, but to any other perturbation (that doesn't involve lesions) as well. 
  43. ^ a b Jones S, Bonci A (2005). "Synaptic plasticity and drug addiction". Current Opinion in Pharmacology 5 (1): 20–5. doi:10.1016/j.coph.2004.08.011. PMID 15661621. 
  44. ^ a b Eisch AJ, Harburg GC (2006). "Opiates, psychostimulants, and adult hippocampal neurogenesis: Insights for addiction and stem cell biology". Hippocampus 16 (3): 271–86. doi:10.1002/hipo.20161. PMID 16411230. 
  45. ^ Rang, H. P. (2003). Pharmacology. Edinburgh: Churchill Livingstone. p. 596. ISBN 0-443-07145-4. 
  46. ^ Kourrich S, Rothwell PE, Klug JR, Thomas MJ (2007). "Cocaine experience controls bidirectional synaptic plasticity in the nucleus accumbens". J. Neurosci. 27 (30): 7921–8. doi:10.1523/JNEUROSCI.1859-07.2007. PMID 17652583. 
  47. ^ a b Kalivas PW, Volkow ND (2005). "The neural basis of addiction: a pathology of motivation and choice". Am J Psychiatry 162 (8): 1403–13. doi:10.1176/appi.ajp.162.8.1403. PMID 16055761. 
  48. ^ a b Floresco SB, Ghods-Sharifi S (2007). "Amygdala-prefrontal cortical circuitry regulates effort-based decision making". Cereb. Cortex 17 (2): 251–60. doi:10.1093/cercor/bhj143. PMID 16495432. 
  49. ^ a b c "Dopamine in Drug Abuse and Addiction: Results of Imaging Studies and Treatment Implications". 
  50. ^ "Drugs, Brains, and Behavior: The Science of Addiction". 
  51. ^ "Understanding Drug Abuse and Addiction". 
  52. ^ a b c Nestler EJ (October 2008). "Review. Transcriptional mechanisms of addiction: role of DeltaFosB". Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 363 (1507): 3245–3255. doi:10.1098/rstb.2008.0067. PMC 2607320. PMID 18640924. Recent evidence has shown that ΔFosB also represses the c-fos gene that helps create the molecular switch—from the induction of several short-lived Fos family proteins after acute drug exposure to the predominant accumulation of ΔFosB after chronic drug exposure—cited earlier (Renthal et al. in press). The mechanism responsible for ΔFosB repression of c-fos expression is complex and is covered below. ...
    Examples of validated targets for ΔFosB in nucleus accumbens ... GluR2 ... dynorphin ... Cdk5 ... NFκB ... c-Fos
     
    Table 3
  53. ^ a b Traynor J (March 2012). "μ-Opioid receptors and regulators of G protein signaling (RGS) proteins: from a symposium on new concepts in mu-opioid pharmacology". Drug Alcohol Depend 121 (3): 173–80. doi:10.1016/j.drugalcdep.2011.10.027. PMC 3288798. PMID 22129844. 
  54. ^ http://www.dsm5.org/documents/substance%20use%20disorder%20fact%20sheet.pdf
  55. ^ Torres G, Horowitz JM (1999). "Drugs of abuse and brain gene expression". Psychosom Med 61 (5): 630–50. doi:10.1097/00006842-199909000-00007. PMID 10511013. 
  56. ^ Thomas Insel. "Transforming Diagnosis". National Institute of Mental Health. Retrieved 17 June 2015. 
  57. ^ Malenka RC, Nestler EJ, Hyman SE (2009). "Chapter 15: Reinforcement and Addictive Disorders". In Sydor A, Brown RY. Molecular Neuropharmacology: A Foundation for Clinical Neuroscience (2nd ed.). New York: McGraw-Hill Medical. pp. 364–368. ISBN 9780071481274. The official diagnosis of drug addiction by the Diagnostic and Statistic Manual of Mental Disorders (2000), which makes distinctions between drug use, abuse, and substance dependence, is flawed. First, diagnosis of drug use versus abuse can be arbitrary and reflect cultural norms, not medical phenomena. Second, the term substance dependence implies that dependence is the primary pharmacologic phenomenon underlying addiction, which is likely not true, as tolerance, sensitization, and learning and memory also play central roles. It is ironic and unfortunate that the Manual avoids use of the term addiction, which provides the best description of the clinical syndrome. 
  58. ^ Stoops WW, Rush CR (May 2014). "Combination pharmacotherapies for stimulant use disorder: a review of clinical findings and recommendations for future research". Expert Rev Clin Pharmacol 7 (3): 363–374. doi:10.1586/17512433.2014.909283. PMID 24716825. Despite concerted efforts to identify a pharmacotherapy for managing stimulant use disorders, no widely effective medications have been approved. 
  59. ^ Perez-Mana C, Castells X, Torrens M, Capella D, Farre M (September 2013). "Efficacy of psychostimulant drugs for amphetamine abuse or dependence". Cochrane Database Syst. Rev. 9: CD009695. doi:10.1002/14651858.CD009695.pub2. PMID 23996457. To date, no pharmacological treatment has been approved for [addiction], and psychotherapy remains the mainstay of treatment. ... Results of this review do not support the use of psychostimulant medications at the tested doses as a replacement therapy 
  60. ^ Forray A, Sofuoglu M (February 2014). "Future pharmacological treatments for substance use disorders". Br. J. Clin. Pharmacol. 77 (2): 382–400. doi:10.1111/j.1365-2125.2012.04474.x. PMC 4014020. PMID 23039267. 
  61. ^ Srisurapanont M, Jarusuraisin N (2005). Srisurapanont, Manit, ed. "Opioid antagonists for alcohol dependence". Cochrane Database Syst Rev (1): CD001867. doi:10.1002/14651858.CD001867.pub2. PMID 15674887. 
  62. ^ Vocci, F. J.; J. Acri; A. Elkashef (2005). "A Medication development for addictive disorders: The state of the science". American Journal of Psychiatry 162: 1431–1440. 
  63. ^ Cerny, E. H.; T. Cerny (2009). "Vaccines against nicotine". Human Vaccines 5: 200–205. doi:10.4161/hv.5.4.7310. 
  64. ^ Carroll, F. L.; B.E. Blouch; R.R. Pidaparthi (2011). "Synthesis of mercapto-(+)-methamphetamine haptens and their use for obtaining improved epitope density on (+)-methamphetamine conjugate vaccines". Journal of Medical Chemistry 54: 5221–5228. doi:10.1021/jm2004943. 
  65. ^ Luigjes, J.; W. van den Brink; M. Feenstra (2011). "Deep brain stimulation in addiction: a review of potential brain targets". Molecular Psychiatry 17 (6): 572. doi:10.1038/mp.2011.114. 
  66. ^ Mantione, M.; W. van den Brink, P.R. Schuurman, D. Denys (2010). "Smoking cessation and weight loss after chronic deep brain stimulation of the nucleus accumbens: Therapeutic and research implications: Case report". Neurosurgery 66: E218. doi:10.1227/01.neu.0000360570.40339.64. 
  67. ^ Johnson RE, Chutuape MA, Strain EC, Walsh SL, Stitzer ML, Bigelow GE (2000). "A comparison of levomethadyl acetate, buprenorphine, and methadone for opioid dependence". N. Engl. J. Med. 343 (18): 1290–7. doi:10.1056/NEJM200011023431802. PMID 11058673. 
  68. ^ Connock M, Juarez-Garcia A, Jowett S; et al. (2007). "Methadone and buprenorphine for the management of opioid dependence: a systematic review and economic evaluation". Health Technol Assess 11 (9): 1–171, iii–iv. PMID 17313907. 
  69. ^ Marsch LA, Stephens MA, Mudric T, Strain EC, Bigelow GE, Johnson RE (2005). "Predictors of outcome in LAAM, buprenorphine, and methadone treatment for opioid dependence". Exp Clin Psychopharmacol 13 (4): 293–302. doi:10.1037/1064-1297.13.4.293. PMID 16366759. 
  70. ^ Robertson JR, Raab GM, Bruce M, McKenzie JS, Storkey HR, Salter A (2006). "Addressing the efficacy of dihydrocodeine versus methadone as an alternative maintenance treatment for opiate dependence: A randomized controlled trial". Addiction 101 (12): 1752–9. doi:10.1111/j.1360-0443.2006.01603.x. PMID 17156174. 
  71. ^ Qin Bo-Yi (1998). "Advances in dihydroetorphine: From analgesia to detoxification". Drug Development Research 39 (2): 131–134. doi:10.1002/(SICI)1098-2299(199610)39:2<131::AID-DDR3>3.0.CO;2-Q.  Link
  72. ^ Metrebian N, Shanahan W, Wells B, Stimson GV (1998). "Feasibility of prescribing injectable heroin and methadone to opiate-dependent drug users: associated health gains and harm reductions". Med. J. Aust. 168 (12): 596–600. PMID 9673620. 
  73. ^ Metrebian N, Mott J, Carnwath Z, Carnwath T, Stimson GV, Sell L (2007). "Pathways into receiving a prescription for diamorphine (heroin) for the treatment of opiate dependence in the United kingdom". Eur Addict Res 13 (3): 144–7. doi:10.1159/000101550. PMID 17570910. 
  74. ^ a b Kenna GA, Nielsen DM, Mello P, Schiesl A, Swift RM (2007). "Pharmacotherapy of dual substance abuse and dependence". CNS Drugs 21 (3): 213–37. doi:10.2165/00023210-200721030-00003. PMID 17338593. 
  75. ^ Soyka M, Roesner S (2006). "New pharmacological approaches for the treatment of alcoholism". Expert Opin Pharmacother 7 (17): 2341–53. doi:10.1517/14656566.7.17.2341. PMID 17109610. 
  76. ^ Pettinati HM, Rabinowitz AR (2006). "Choosing the right medication for the treatment of alcoholism". Curr Psychiatry Rep 8 (5): 383–8. doi:10.1007/s11920-006-0040-0. PMID 16968619. 
  77. ^ Bouza C, Angeles M, Magro A, Muñoz A, Amate JM (2004). "Efficacy and safety of naltrexone and acamprosate in the treatment of alcohol dependence: a systematic review". Addiction 99 (7): 811–28. doi:10.1111/j.1360-0443.2004.00763.x. PMID 15200577. 
  78. ^ Williams SH (2005). "Medications for treating alcohol dependence". Am Fam Physician 72 (9): 1775–80. PMID 16300039. 
  79. ^ Gass JT, Olive MF (2008). "Glutamatergic substrates of drug addiction and alcoholism". Biochem. Pharmacol. 75 (1): 218–65. doi:10.1016/j.bcp.2007.06.039. PMC 2239014. PMID 17706608. 
  80. ^ Garwood CL, Potts LA (2007). "Emerging pharmacotherapies for smoking cessation". Am J Health Syst Pharm 64 (16): 1693–8. doi:10.2146/ajhp060427. PMID 17687057. 
  81. ^ Frishman WH (2007). "Smoking cessation pharmacotherapy—nicotine and non-nicotine preparations". Prev Cardiol 10 (2 Suppl 1): 10–22. doi:10.1111/j.1520-037X.2007.05963.x. PMID 17396063. 
  82. ^ Siu EC, Tyndale RF (2007). "Non-nicotinic therapies for smoking cessation". Annu. Rev. Pharmacol. Toxicol. 47: 541–64. doi:10.1146/annurev.pharmtox.47.120505.105354. PMID 17209799. 
  83. ^ K.R. Alper, H.S. Lotsof, G.M. Frenken, D.J. Luciano, J. Bastiaans (1999). "Treatment of Acute Opioid Withdrawal with Ibogaine" (PDF). The American Journal on Addictions 8 (3): 234–242. doi:10.1080/105504999305848. PMID 10506904. Retrieved 16 June 2009. 
  84. ^ S.L.T. Cappendijk, M.R. Dzoljic (1993). "Inhibitory effects of ibogaine on cocaine self-administration in rats". European Journal of Pharmacology 241 (2–3): 261–265. doi:10.1016/0014-2999(93)90212-Z. PMID 8243561. 
  85. ^ S.D. Glick, K. Rossman, N.C. Rao, I.M. Maisonneuve and J.N. Carlson (1992). "Effects of ibogaine on acute signs of morphine withdrawal in rats: Independence from tremor". Neuropharmacology 31 (5): 497–500. doi:10.1016/0028-3908(92)90089-8. PMID 1528400. 
  86. ^ Cheetham A, Allen NB, Yücel M, Lubman DI (August 2010). "The role of affective dysregulation in drug addiction". Clin Psychol Rev 30 (6): 621–34. doi:10.1016/j.cpr.2010.04.005. PMID 20546986. 
  87. ^ Franken IHA, Muris P (2006). "BIS/BAS personality characteristics and college students' substance use". Personality and Individual Differences 40 (7): 1497–1503. doi:10.1016/j.paid.2005.12.005. 
  88. ^ Genovese JE, Wallace D (December 2007). "Reward sensitivity and substance abuse in middle school and high school students". J Genet Psychol 168 (4): 465–9. doi:10.3200/GNTP.168.4.465-469. PMID 18232522. 
  89. ^ Kimbrel NA, Nelson-Gray RO, Mitchell JT (April 2007). "Reinforcement sensitivity and maternal style as predictors of psychopathology". Personality and Individual Differences 42 (6): 1139–1149. doi:10.1016/j.paid.2006.06.028. 
  90. ^ [87][88][89]
  91. ^ Dawe S, Loxton NJ (May 2004). "The role of impulsivity in the development of substance use and eating disorders". Neurosci Biobehav Rev 28 (3): 343–51. doi:10.1016/j.neubiorev.2004.03.007. PMID 15225976. 

Further reading[edit]

  • Fraser, Suzanne; Moore, David; Keane, Helen (2014). Habits: Remaking addiction (1st ed.). Basingstoke: Palgrave Macmillan. p. 272. ISBN 9780230308107. 

External links[edit]

Kyoto Encyclopedia of Genes and Genomes signal transduction pathways: