Addiction and Cognition
Addiction and Cognition
T he brain regions and neural processes that underlie addiction overlap extensively with those that support cognitive func-
tions, including learning, memory, and reasoning. Drug activity in these regions and processes during early stages of
abuse foster strong maladaptive associations between drug use and environmental stimuli that may underlie future cravings
and drug-seeking behaviors. With continued drug use, cognitive deficits ensue that exacerbate the difficulty of establishing sus-
tained abstinence. The developing brain is particularly susceptible to the effects of drugs of abuse; prenatal, childhood, and ado-
lescent exposures produce long-lasting changes in cognition. Patients with mental illness are at high risk for substance abuse,
and the adverse impact on cognition may be particularly deleterious in combination with cognitive problems related to their
mental disorders.
D
Thomas J. Gould, Ph.D. rug addiction manifests clinically as compulsive drug seeking, drug
Department of Psychology and Center for
Substance Abuse Research
use, and cravings that can persist and recur even after extended
Temple University periods of abstinence. From a psychological and neurological per-
Philadelphia, Pennsylvania
spective, addiction is a disorder of altered cognition. The brain regions and
processes that underlie addiction overlap extensively with those that are involved
in essential cognitive functions, including learning, memory, attention, rea-
soning, and impulse control. Drugs alter normal brain structure and function
in these regions, producing cognitive shifts that promote continued drug use
through maladaptive learning and hinder the acquisition of adaptive behaviors
that support abstinence.
In a 2005 review, Steven Hyman stated the current neurological conception
of drug abuse concisely: Characterizing addiction as a disease of “pathological
learning,” he wrote, “[A]ddiction represents a pathological usurpation of the
neural mechanisms of learning and memory that under normal circumstances
serve to shape survival behaviors related to the pursuit of rewards and the cues
that predict them.”
This article reviews current knowledge on the cognitive effects of drugs and their
neurological underpinnings. These effects may be particularly disruptive when
individuals are exposed to drugs during brain development, which lasts from the
prenatal period through adolescence, and in individuals with mental disorders.
An understanding of these issues will help substance abuse clinicians identify
and respond to cognitive changes that affect patients’ responses to treatment.
R e s e a r c h R e v i e w — Add i c t i o n a n d C o g n i t i o n • 5
have confirmed that laboratory animals’ cognitive pro- In contrast to the effects of opioids on cognition, those
cesses improve immediately following administration of of alcohol are clear, though bidirectional: High doses
nicotine (Kenney and Gould, 2008). Similar findings in disrupt cognitive processes (Ryback, 1971), while low
early studies with human smokers were not conclusive, doses can enhance learning (Gulick and Gould, 2007;
because the study participants were smokers who had Hernández, Valentine, and Powell, 1986).
received nicotine following a period of abstinence. The
observed enhancements might have reflected the reversal The Persistence of Drug-Stimulus Associations
of withdrawal effects, rather than improvements over Recent research has sought to account for the strik-
their normal cognitive powers. A subsequent review ingly long-lasting ability of maladaptive drug-stimulus
of the literature, however, suggests that acute nicotine associations to influence behavior and provoke relapse.
enhances reaction time and attention in nicotine-naïve Studies have shown that many abused substances can
individuals (Swan and Lessov-Schlaggar, 2007). Cocaine reshape the communication pathways between neurons
produced similar effects in a study of rats that were treated (synaptic plasticity), which could contribute to both
with the drug and then exposed to a sensory stimulus; the formation and the persistence of maladaptive drug-
the animals exhibited enhanced neural activation when stimulus associations.
High doses later re-exposed to the stimulus (Devonshire, Mayhew, Cocaine and nicotine can directly induce one form
of alcohol and Overton, 2007). of synaptic plasticity, the strengthening of neural con-
Although all drugs of abuse foster the learning of nections via a process known as long-term potentiation
disrupt cogni-
strong drug-stimulus associations and cue-induced drug (LTP; see Learning in the Mind and Brain on page 8
tive processes,
seeking, some appear to have mixed effects on other types and Table 1) (Argilli et al., 2008; Kenney and Gould,
while low of learning and cognition. For example, a clinical study of 2008). Amphetamine can enhance LTP (Delanoy, Tucci,
doses can the acute effects of morphine and oxycodone concluded and Gold, 1983). Marijuana activates the endocannabi-
enhance that these drugs have variable impacts on cognition: noid system, resulting in inhibition in some instances
Both improved men’s recall of prose just slightly, but and facilitation in others of both LTP and long-term
learning.
morphine slightly impaired both sexes’ performance depression (LTD), another form of synaptic plasticity
on a test of working memory in which they were asked in which connections between neurons become less
to repeat a set of digits in reverse order (Friswell et al., responsive (Carlson, Wang, and Alger, 2002; Nugent
2008). In another study, mice were given morphine or and Kauer, 2008; Sullivan, 2000). Ethanol consistently
saline and trained to run away when a light signaled that disrupts LTP while enhancing LTD (Yin et al., 2007).
a foot shock was impending; although the morphine- Morphine inhibits LTP of neurons that exhibit inhibi-
treated mice scored higher on the frequency and quick- tory control of neural activity via the neurotransmitter
ness with which they avoided shocks, the researchers gamma-aminobutyric acid (GABA) (Nugent and Kauer,
attributed this to increased motor activity rather than 2008). Inhibition of GABA activity could lead to an
enhanced learning (Aguilar, Miñarro, and Simón, 1998). overall increase in neural activity throughout the brain,
which might lead to the formation of stronger associa-
Table 1. Drug Effects on Synaptic Plasticity tions than would normally occur, including maladaptive
Drug Effects on plasticity
drug-context associations.
Strengthening the evidence that drugs foster long-
Amphetamine LTP lasting drug-stimulus associations by affecting synap-
tic plasticity, studies have demonstrated that the same
Cocaine LTP
proteins that participate in the sequential biochemical
Ethanol LTP, LTD reactions (cell signaling cascades) that control synaptic
plasticity (see Figure 1) come into play in drug-seeking
Marijuana LTP, LTD
behaviors. For example, in one experiment, researchers
Morphine LTP (of inhibitory synapses) showed that when rats went to a cage area that they
had been trained to associate with cocaine, the levels of
Nicotine LTP
proteins associated with learning—extracellular signal-
LTP, long-term potentiation of synaptic efficiency; LTD, long-term depression of regulated protein kinase (ERK), cyclic AMP response
synaptic efficiency. element-binding (CREB), Elk-1, and Fos—increased in
R e s e a r c h R e v i e w — Add i c t i o n a n d C o g n i t i o n • 7
their NAc (Miller and Marshall, 2005). Moreover, when Figure 1. A Cell Signaling Cascade in Learning and Memory
the rats were treated with a compound that suppresses
Terese Winslow
ERK, they stopped preferring that cage area over one in VTA neuron
Cell nucleus
COGNITIVE DEFICITS IN CHRONIC DRUG CREB
Na+ DNA
ABUSE
Drug abusers who progress to the second stage of addic- CRE gene
Ca++
tion are subject to withdrawal when they initiate absti-
nence. Many drugs produce cognition-related withdrawal NMDA glutamate
MAPK/ERK
receptor Adenylate
symptoms that may make abstinence more difficult. cyclase
2005); PKA
to confirm this, and others correlated smoking quantity percent), globus pallidus (-27 to -30 percent), and hip-
and duration with higher risk for Alzheimer’s disease pocampus (-19 to -20 percent) among 15 children aged
(Swan and Lessov-Schlaggar, 2007). 3 to 16 years who were prenatally exposed to the stimu-
Laboratory studies have demonstrated nicotine- lant, compared with controls (Chang et al., 2004). The
related alterations in neuronal functioning that could drug-exposed children also exhibited poorer long-term
underlie cognitive decline that persists even after pro- spatial memory and visual/motor integration. Another
longed abstinence. For example, rats’ self-administration study documented structural changes in the frontal and
of nicotine was associated with a decrease in cell adhesion parietal cortex of 3- and 4-year-old children who had
molecules, a decrease in new neuron production, and been exposed prenatally to methamphetamine (Cloak
an increase in cell death in the hippocampus (Abrous et al., 2009). In laboratory studies, rats that were treated
et al., 2002). Such changes could result in long-lasting with methamphetamine during pregnancy gave birth to
cognitive changes that contribute to poor decisionmak- pups that, when they reached adulthood, were slow to
ing and addiction. learn spatial relationships and exhibited spatial memory
impairment (Acuff-Smith et al., 1996; Slamberová et
Drugs of Abuse and the Developing al., 2005).
Brain The effects of prenatal tobacco exposure are par-
The human brain continues to develop and consolidate ticularly concerning because so many expectant moth-
important neural pathways from the prenatal period ers smoke—by one estimate, over 10 percent in the
through adolescence. Throughout these years, the brain United States (Hamilton et al., 2007). In utero expo-
is highly malleable, and drug-induced alterations of sure to tobacco byproducts has been linked to cognitive
neural plasticity may deflect the normal course of brain deficits in laboratory animals and human adolescents
maturation. (Dwyer, Broide, and Leslie, 2008). Some studies sug-
gest that such exposure can lower general intelligence;
Prenatal Exposures for example, one found a 12-point gap in full-scale IQ
The consequences of prenatal alcohol exposure are well- between exposed and unexposed middle-class adolescents
known: Fetal alcohol spectrum disorders are the leading (e.g., Fried, Watkinson, and Gray, 2003). In another Cognitive defi-
cause of mental retardation in the United States (Centers study, the odds of having attention deficit hyperactivity cits following
for Disease Control and Prevention, 2009). In addition, disorder (ADHD) were more than three times as great
prenatal expo-
fetal alcohol exposure increases susceptibility to later for adolescents whose mothers smoked during pregnancy
sure to smok-
substance abuse problems (Yates et al., 1998). compared with children of nonsmoking mothers (Pauly
Prenatal exposures to a number of other drugs have and Slotkin, 2008). ing may reflect
significant deleterious effects on cognition and behavior Cognitive deficits following prenatal exposure to structural brain
that may not rise to the level of mental retardation. In smoking may reflect structural brain changes. In one changes.
one study, 5-year-olds whose mothers had used alcohol, study, prenatally exposed adolescent smokers had greater
cocaine, and/or opiates while pregnant ranked below visuospatial memory deficits in conjunction with changes
unexposed controls in language skills, impulse control, in parahippocampal and hippocampal function com-
and visual attention. There were no significant differ- pared with adolescent smokers not prenatally exposed
ences between the two groups of children in intelligence, (Jacobsen et al., 2006). Brain imaging of adolescent
visual/manual dexterity, or sustained attention; however, smokers and nonsmokers who were prenatally exposed
both groups placed below the normative means on these to smoking has revealed reduced cortical thickness (Toro
measures (Pulsifer et al., 2008). Another study docu- et al., 2008) and structural alterations in cortical white
mented memory deficits in 10-year-old children who matter (Jacobsen et al., 2007). Furthermore, in rats,
had been exposed prenatally to alcohol or marijuana prenatal exposure to nicotine decreased memory-related
(Richardson et al., 2002). neural activity in the hippocampus and resulted in defi-
Clinical and laboratory research has implicated pre- cits in active avoidance learning, with male and female
natal exposure to methamphetamine in both cognitive prenatally exposed rats showing significantly fewer cor-
deficits and altered brain structure. For example, one rect responses as young adults (Vaglenova et al., 2008).
study correlated shorter attention span and delayed These deficits persisted into later adulthood among the
memory with reduced volume in the putamen (-18 male rats, but not the females.
1 0 • A D D ICTION S CIENCE & CLINICAL P r a c t i c e — D e c e m b e r 2 0 1 0
Among the adverse consequences of prenatal drug (Thomas and O’Brien, 2008). A laboratory investigation
exposure is a heightened risk of becoming a drug abuser shed light on this relationship: Adult rats that had been
in later life (Fergusson, Woodward, and Horwood, exposed to nicotine during their adolescence proved less
1998). This is troubling, as it may lead to a downward sensitive than controls to rewarding/appetitive stimuli
spiral that manifests across generations and destroys and more responsive to stress and anxiogenic stimuli
family structures. Multiple factors could contribute (Iñiguez et al., 2009).
to the increased risk of future substance abuse, includ- Adolescent exposures to other substances of abuse,
ing the effects of prenatal drug exposure on cognition. such as alcohol, cannabis, and MDMA, also cause per-
As already reviewed, the risk of developing ADHD is sistent disruptions of cognition (Brown et al., 2000;
greatly increased in adolescents whose mothers smoked O’Shea, McGregor, and Mallet, 2006; Piper and Meyer,
during pregnancy (Pauly and Slotkin, 2008). ADHD 2004; Stiglick and Kalant, 1982). These findings indicate
Over half of is often comorbid with substance abuse (Biederman et that the adolescent brain, which is still developing, is
U.S. individu- al., 2008; Molina and Pelham, 2003), suggesting a link susceptible to insult from drug use and abuse, and such
between such changes in cognition and future drug abuse. insult can result in long-lasting changes in affect and
als with drug
Further work is needed to understand the mechanisms cognition.
disorders
that underlie the increased risk of drug abuse associated
(excluding with prenatal exposure. Drugs of Abuse and Mental Illness
alcohol) have Drug-related cognitive deficits may be particularly det-
co-occurring Adolescent Exposure rimental to the well-being of individuals whose cogni-
Adolescence is a high-risk period for substance abuse. tive performance is already compromised by a mental
mental
Most addicted smokers first formed the habit during disorder. Moreover, individuals who suffer from mental
disorders.
adolescence (Khuder, Dayal, and Mutgi, 1999). Ado- disorders abuse drugs at higher rates than the general
lescent smoking strongly affects cognition. Adolescent population. Substance abuse is almost twice as prevalent
smokers scored worse than age-matched nonsmokers on among adults with serious psychological distress or major
tests of working memory, verbal comprehension, oral depressive episodes as among age-matched controls
arithmetic, and auditory memory (Fried, Watkinson, (SAMHSA, 2007, p. 85), and it is estimated that over
and Gray, 2006; Jacobsen et al., 2005). These deficits half of U.S. individuals with drug disorders (excluding
resolved upon cessation of smoking with the excep- alcohol) also have mental disorders (Regier et al., 1990).
tions of working memory and arithmetic performance, In a 1986 study, smoking rates approximated 30 percent
which remained at comparatively low levels. In rats, in population-based controls, 47 percent in patients with
nicotine exposure during adolescence was associated anxiety disorder or major depressive disorder, 78 percent
with visuospatial attention deficits, increased impul- in patients with mania, and 88 percent in patients with
sivity, and increased sensitivity of medial prefrontal schizophrenia (Hughes et al., 1986).
cortical dopamine terminals in adulthood (Counotte The case of smoking and schizophrenia provides
et al., 2009). In addition, adolescent rats treated with one example of a mental disorder that features cognitive
nicotine had long-lasting changes in the sensitivity of the deficits in combination with abuse of a drug that causes
adenylyl cyclase cell signaling cascade (see Figure 1), a cognitive decline. As with many comorbidities, effective
second messenger pathway involved in many processes, treatment will likely require untangling the reasons why
including learning and memory (Slotkin et al., 2008). the two conditions so frequently co-occur:
These findings fit well with studies demonstrating that • Some evidence suggests that patients with schizophre-
nicotine initially can enhance some cognitive processes, nia smoke to self-medicate. For example, smoking
but with continued use adaptation can occur, leading to reverses schizophrenic patients’ deficits in the brain’s
dissipation of these effects and even deficits (for review, ability to adapt its responses to stimuli (sensory gating),
see Kenney and Gould, 2008). which could reduce the capacity to filter information,
Adolescent smoking can foster cognitive decline and might account for some of the cognitive disruption
indirectly, through the promotion of other disorders. For seen in the mental disorder. Researchers have traced
example, adolescent cigarette use is associated with later this feature of schizophrenia to a variant of the gene
episodes of depression (Choi et al., 1997), a malady which for the α7 nicotinic acetylcholinergic receptor subunit
in turn is associated with negative effects on cognition (Leonard et al., 2001). Consistent with this viewpoint
R e s e a r c h R e v i e w — Add i c t i o n a n d C o g n i t i o n • 1 1
abstinence-sustaining strategies into their daily routines. genetic background on the manifestation of symptoms is
Research into the changes in cognition that accom- a critical area for future research, holding the promise of
pany addiction and the neural substrates of learning and informing more effective treatments that can be tailored
addiction is still in its infancy but has potential to reshape to the individual’s genotype. Finally, understanding
views on addiction. For example, a recent discovery that how prenatal exposure to drugs of abuse changes neu-
has generated excitement in the addiction field is that ral development should be a high priority, as prenatal
smokers who suffered damage to the insula often lost exposure increases the new generation’s susceptibility
their desire to smoke (Naqvi et al., 2007). The authors to addiction and other problems.
of this finding proposed that the insula is involved in
the conscious urge to smoke and that therapies that Acknowledgments
modulate insula function may facilitate smoking cessa- The author would like to thank Dr. Sheree Logue and
tion. It may also be that damage to the insula will have members of the Gould Laboratory for critically reading
a similar effect on the desire to use other drugs of abuse an earlier version of this review and also to acknowledge
(for a review see Goldstein et al., 2009). support by grants from the National Institute on Alcohol
A better understanding of how substances of abuse Abuse and Alcoholism, the National Institute on Drug
change cognitive processes is needed to develop new Abuse, and the National Cancer Institute (AA015515,
therapeutic agents to treat addiction and ameliorate DA017949, DA024787, and P50 CA143187) for some
cognitive deficits. This is a complex issue, however, as of the studies reviewed.
different drugs of abuse appear to alter different cogni-
tive processes and cell signaling pathways. Even among Correspondence
users of the same drug, cognitive impacts will differ Thomas J. Gould, Department of Psychology, Weiss
depending on variations in environmental factors and Hall, Temple University, Philadelphia, PA 19122;
genetics. Understanding the influence of an individual’s e-mail: tgould@temple.edu.
Reference s
Abel, T., et al., 1997. Genetic demonstration of a role for PKA in the late phase of LTP and in hippocampus-based long-term memory. Cell 88(5):615-626.
Abel, T., and Lattal, K.M., 2001. Molecular mechanisms of memory acquisition, consolidation and retrieval. Current Opinion in Neurobiology 11(2):180-187.
Abrous, D.N., et al., 2002. Nicotine self-administration impairs hippocampal plasticity. Journal of Neuroscience 22(9):3656-3662.
Acuff-Smith, K.D., et al., 1996. Stage-specific effects of prenatal d-methamphetamine exposure on behavioral and eye development in rats. Neurotoxicology and Teratology 18(2):199-215.
Aguilar, M.A.; Miñarro, J.; and Simón, V.M., 1998. Dose-dependent impairing effects of morphine on avoidance acquisition and performance in male mice. Neurobiology of Learning and
Memory 69(2):92-105.
Argilli, E., et al., 2008. Mechanism and time course of cocaine-induced long-term potentiation in the ventral tegmental area. Journal of Neuroscience 28(37):9092-9100.
Bardo, M.T., and Bevins, R.A., 2000. Conditioned place preference: What does it add to our preclinical understanding of drug reward? Psychopharmacology (Berl) 153(1):31-43.
Beane, M., and Marrocco, R.T., 2004. Norepinephrine and acetylcholine mediation of the components of reflexive attention: Implications for attention deficit disorders. Progress in Neu-
robiology 74(3):167-181.
Bell, S.L., et al., 1999. Smoking after nicotine deprivation enhances cognitive performance and decreases tobacco craving in drug abusers. Nicotine & Tobacco Research 1(1):45-52.
Biederman, J., et al., 2008. Familial risk analyses of attention deficit hyperactivity disorder and substance use disorders. American Journal of Psychiatry 165(1):107-115.
Blake, J., and Smith, A., 1997. Effects of smoking and smoking deprivation on the articulatory loop of working memory. Human Psychopharmacology: Clinical and Experimental 12:259-264.
Boettiger, C.A., et al., 2007. Immediate reward bias in humans: Fronto-parietal networks and a role for the catechol-O-methyltransferase 158(Val/Val) genotype. Journal of Neuroscience
27(52):14383-14391.
Brown, S.A., et al., 2000. Neurocognitive functioning of adolescents: Effects of protracted alcohol use. Alcoholism: Clinical and Experimental Research 24(2):164-171.
Cahill, L., and McGaugh, J.L., 1998. Mechanisms of emotional arousal and lasting declarative memory. Trends in Neurosciences 21(7):294-299.
Carlson, G.; Wang, Y.; and Alger, B.E., 2002. Endocannabinoids facilitate the induction of LTP in the hippocampus. Nature Neuroscience 5(8):723-724.
Centers for Disease Control and Prevention. Fetal Alcohol Spectrum Disorders (FASDs). Retrieved November 6, 2009 from www.cdc.gov/ncbddd/fas/fasask.htm.
Chang, L., et al., 2004. Smaller subcortical volumes and cognitive deficits in children with prenatal methamphetamine exposure. Psychiatry Research: Neuroimaging 132(2):95-106.
Choi, W.S., et al., 1997. Cigarette smoking predicts development of depressive symptoms among U.S. adolescents. Annals of Behavioral Medicine 19(1):42-50.
Cloak, C.C., et al., 2009. Lower diffusion in white matter of children with prenatal methamphetamine exposure. Neurology 72(24):2068-2075.
Conners, C.K., et al., 1996. Nicotine and attention in adult attention deficit hyperactivity disorder (ADHD). Psychopharmacology Bulletin 32(1):67-73.
Counotte, D.S., et al., 2009. Long-lasting cognitive deficits resulting from adolescent nicotine exposure in rats. Neuropsychopharmacology 34(2):299-306.
Dalley, J.W., et al., 2005. Cognitive sequelae of intravenous amphetamine self-administration in rats: Evidence for selective effects on attentional performance. Neuropsychopharmacol-
ogy 30(3):525-537.
Davis, J.A., et al., 2005. Withdrawal from chronic nicotine administration impairs contextual fear conditioning in C57BL/6 mice. Journal of Neuroscience 25(38):8708-8713.
Del, O.N., et al., 2007. Cocaine self-administration improves performance in a highly demanding water maze task. Psychopharmacology (Berl) 195(1):19-25.
Delanoy, R.L.; Tucci, D.L.; and Gold, P.E., 1983. Amphetamine effects on long term potentiation in dentate granule cells. Pharmacology Biochemistry and Behavior 18(1):137-139.
R e s e a r c h R e v i e w — Add i c t i o n a n d C o g n i t i o n • 1 3
Devonshire, I.M.; Mayhew, J.E.; and Overton, P.G., 2007. Cocaine preferentially enhances sensory processing in the upper layers of the primary sensory cortex. Neuroscience 146(2):841-851.
Dopheide, J.A., and Pliszka, S.R., 2009. Attention-deficit-hyperactivity disorder: An update. Pharmacotherapy 29(6):656-679.
Dwyer, J.B.; Broide, R.S.; and Leslie, F.M., 2008. Nicotine and brain development. Birth Defects Research Part C: Embryo Today: Reviews 84(1):30-44.
Eichenbaum, H., 2000. A cortical-hippocampal system for declarative memory. Nature Reviews Neuroscience 1(1):41-50.
Elkins, I.J.; McGue, M.; and Iacono, W.G., 2007. Prospective effects of attention-deficit/hyperactivity disorder, conduct disorder, and sex on adolescent substance use and abuse.
Archives of General Psychiatry 64(10):1145-1152.
Feltenstein, M.W., and See, R.E., 2008. The neurocircuitry of addiction: An overview. British Journal of Pharmacology 154(2):261-274.
Fergusson, D.M.; Woodward, L.J.; and Horwood, L.J., 1998. Maternal smoking during pregnancy and psychiatric adjustment in late adolescence. Archives of General Psychiatry 55(8):721-727.
Franklin, T.R., et al., 2007. Limbic activation to cigarette smoking cues independent of nicotine withdrawal: A perfusion fMRI study. Neuropsychopharmacology 32(11):2301-2309.
Fried, P.A.; Watkinson, B.; and Gray, R., 2003. Differential effects on cognitive functioning in 13- to 16-year-olds prenatally exposed to cigarettes and marihuana. Neurotoxicology and
Teratology 25(4):427-436.
Fried, P.A.; Watkinson, B.; and Gray, R., 2006. Neurocognitive consequences of cigarette smoking in young adults—a comparison with pre-drug performance. Neurotoxicology and Tera-
tology 28(4):517-525.
Friswell, J., et al., 2008. Acute effects of opioids on memory functions of healthy men and women. Psychopharmacology (Berl) 198(2):243-250.
Galéra, C., et al., 2008. Hyperactivity-inattention symptoms in childhood and substance use in adolescence: The youth GAZEL cohort. Drug and Alcohol Dependence 94(1-3):30-37.
Goff, D.C.; Henderson, D.C.; and Amico, E., 1992. Cigarette smoking in schizophrenia: Relationship to psychopathology and medication side effects. American Journal of Psychiatry
149(9):1189-1194.
Goldstein, R.Z., et al., 2009. The neurocircuitry of impaired insight in drug addiction. Trends in Cognitive Sciences 13(9):372-380.
Gulick, D., and Gould, T.J., 2007. Acute ethanol has biphasic effects on short- and long-term memory in both foreground and background contextual fear conditioning in C57BL/6 mice.
Alcoholism: Clinical and Experimental Research 31(9):1528-1537.
Hamilton, B.E., et al., 2007. Annual summary of vital statistics: 2005. Pediatrics 119(2):345-360.
Hernández, L.L.; Valentine, J.D.; and Powell, D.A., 1986. Ethanol enhancement of Pavlovian conditioning. Behavioral Neuroscience 100(4):494-503.
Hughes, J.R., et al., 1986. Prevalence of smoking among psychiatric outpatients. American Journal of Psychiatry 143(8):993-997.
Hughes, J.R.; Keenan, R.M.; and Yellin, A., 1989. Effect of tobacco withdrawal on sustained attention. Addictive Behaviors 14(5):577-580.
Hyman, S.E., 2005. Addiction: A disease of learning and memory. American Journal of Psychiatry 162(8):1414-1422.
Iñiguez, S.D., et al., 2009. Nicotine exposure during adolescence induces a depression-like state in adulthood. Neuropsychopharmacology 34(6):1609-1624.
Jacobsen, L.K., et al., 2005. Effects of smoking and smoking abstinence on cognition in adolescent tobacco smokers. Biological Psychiatry 57(1):56–66.
Jacobsen, L.K., et al., 2006. Visuospatial memory deficits emerging during nicotine withdrawal in adolescents with prenatal exposure to active maternal smoking. Neuropsychopharma-
cology 31(7):1550-1561.
Jacobsen, L.K., et al., 2007. Prenatal and adolescent exposure to tobacco smoke modulates the development of white matter microstructure. Journal of Neuroscience 27(49):13491-13498.
Jones, S., and Bonci, A., 2005. Synaptic plasticity and drug addiction. Current Opinion in Pharmacology 5(1):20-25.
Kalivas, P.W., and Volkow, N.D., 2005. The neural basis of addiction: A pathology of motivation and choice. American Journal of Psychiatry 162(8):1403-1413.
Kelley, A.E., 2004. Memory and addiction: Shared neural circuitry and molecular mechanisms. Neuron 44(1):161-179.
Kelley, B.J., et al., 2005. Cognitive impairment in acute cocaine withdrawal. Cognitive and Behavioral Neurology 18(2):108-112.
Kelly, C., and McCreadie, R.G., 1999. Smoking habits, current symptoms, and premorbid characteristics of schizophrenic patients in Nithsdale, Scotland. American Journal of Psychiatry
156(11):1751-1757.
Kenney, J.W., and Gould, T.J., 2008. Modulation of hippocampus-dependent learning and synaptic plasticity by nicotine. Molecular Neurobiology 38(1):101-121.
Khuder, S.A.; Dayal, H.H.; and Mutgi, A.B., 1999. Age at smoking onset and its effect on smoking cessation. Addictive Behaviors 24(5):673-677.
Kollins, S.H., 2008. ADHD, substance use disorders, and psychostimulant treatment: Current literature and treatment guidelines. Journal of Attention Disorders 12(2):115-125.
Kombian, S.B., and Malenka, R.C., 1994. Simultaneous LTP of non-NMDA- and LTD of NMDA-receptor-mediated responses in the nucleus accumbens. Nature 368(6468):242-246.
Lambert, N.M., and Hartsough, C.S., 1998. Prospective study of tobacco smoking and substance dependencies among samples of ADHD and non-ADHD participants. Journal of Learn-
ing Disabilities 31(6):533-544.
Le Moal, M., and Koob, G.F., 2007. Drug addiction: Pathways to the disease and pathophysiological perspectives. European Neuropsychopharmacology 17(6-7):377-393.
Leonard, S., et al., 2001. Smoking and mental illness. Pharmacology Biochemistry and Behavior 70(4):561-570.
Loughead, J., et al., 2009. Effect of abstinence challenge on brain function and cognition in smokers differs by COMT genotype. Molecular Psychiatry 14(8):820-826.
Lyvers, M., and Yakimoff, M., 2003. Neuropsychological correlates of opioid dependence and withdrawal. Addictive Behaviors 28(3):605-611.
Maren, S., 2005. Synaptic mechanisms of associative memory in the amygdala. Neuron 47(6):783-786.
Mattay, V.S., 1996. Dextroamphetamine enhances “neural network-specific” physiological signals: A positron-emission tomography rCBF study. Journal of Neuroscience 16(15):4816-
4822.
Mattay, V.S., et al., 2003. Catechol O-methyltransferase val158-met genotype and individual variation in the brain response to amphetamine. Proceedings of the National Academy of Sci-
ences of the United States of America 100(10):6186-6191.
McEvoy, J.P., et al., 1995. Haloperidol increases smoking in patients with schizophrenia. Psychopharmacology (Berl) 119(1):124-126.
McEvoy, J.P.; Freudenreich, O.; and Wilson, W.H., 1999. Smoking and therapeutic response to clozapine in patients with schizophrenia. Biological Psychiatry 46:125-129.
Mendrek, A., et al., 2006. Working memory in cigarette smokers: Comparison to non-smokers and effects of abstinence. Addictive Behaviors 31(5):833-844.
Miller, C., and Marshall, J.F., 2005. Molecular substrates for retrieval and reconsolidation of cocaine-associated contextual memory. Neuron 47(6):873-884.
Molina, B.S., and Pelham, W.E., Jr., 2003. Childhood predictors of adolescent substance use in a longitudinal study of children with ADHD. Journal of Abnormal Psychology 112(3):497-507.
Moriyama, Y., et al., 2006. Family history of alcoholism and cognitive recovery in subacute withdrawal. Psychiatry and Clinical Neuroscience 60(1):85-89.
Naqvi, N.H., et al., 2007. Damage to the insula disrupts addiction to cigarette smoking. Science 315(5811):531-534.
Nooyens, A.C.; van Gelder, B.M.; and Verschuren, W.M., 2008. Smoking and cognitive decline among middle-aged men and women: The Doetinchem Cohort Study. American Journal of
Public Health 98(12):2244-2250.
Nugent, F.S., and Kauer, J.A., 2008. LTP of GABAergic synapses in the ventral tegmental area and beyond. Journal of Physiology Online 586(6):1487-1493.
Ornstein, T.J., et al., 2000. Profiles of cognitive dysfunction in chronic amphetamine and heroin abusers. Neuropsychopharmacology 23(2):113-126.
1 4 • A D D ICTION S CIENCE & CLINICAL P r a c t i c e — D e c e m b e r 2 0 1 0
O’Shea, M.; McGregor, I.S.; and Mallet, P.E., 2006. Repeated cannabinoid exposure during perinatal, adolescent or early adult ages produces similar longlasting deficits in object recog-
nition and reduced social interaction in rats. Journal of Psychopharmacology 20(5):611-621.
Otani, S., et al., 2003. Dopaminergic modulation of long-term synaptic plasticity in rat prefrontal neurons. Cerebral Cortex 13(11):1251-1256.
Patterson, F., et al., 2010. Working memory deficits predict short-term smoking resumption following brief abstinence. Drug and Alcohol Dependence 106(1):61-64.
Pauly, J.R., and Slotkin, T.A., 2008. Maternal tobacco smoking, nicotine replacement and neurobehavioural development. Acta Paediatrica 97(10):1331-1337.
Penfield, W., and Milner, B., 1958. Memory deficit produced by bilateral lesions in the hippocampal zone. AMA Archives of Neurology and Psychiatry 79(5):475-497.
Piper, B.J., and Meyer, J.S., 2004. Memory deficit and reduced anxiety in young adult rats given repeated intermittent MDMA treatment during the periadolescent period. Pharmacology
Biochemistry and Behavior 79(4):723-731.
Pomerleau, C.S., et al., 2003. Smoking patterns and abstinence effects in smokers with no ADHD, childhood ADHD, and adult ADHD symptomatology. Addictive Behaviors 28(6):1149-1157.
Pope, H.G., Jr.; Gruber, A.J.; and Yurgelun-Todd, D., 2001. Residual neuropsychologic effects of cannabis. Current Psychiatry Reports 3(6):507-512.
Pulsifer, M.B., et al., 2008. Prenatal drug exposure: Effects on cognitive functioning at 5 years of age. Clinical Pediatrics 47(1):58-65.
Raybuck, J.D., and Gould, T.J., 2009. Nicotine withdrawal-induced deficits in trace fear conditioning in C57BL/6 mice—a role for high-affinity beta2 subunit-containing nicotinic acetyl-
choline receptors. European Journal of Neuroscience 29(2):377-387.
Regier, D.A., et al., 1990. Comorbidity of mental disorders with alcohol and other drug abuse. Results from the Epidemiologic Catchment Area (ECA) Study. JAMA 264(19):2511-2518.
Richards, M., et al., 2003. Cigarette smoking and cognitive decline in midlife: Evidence from a prospective birth cohort study. American Journal of Public Health 93(6):994-998.
Richardson, G.A., et al., 2002. Prenatal alcohol and marijuana exposure: Effects on neuropsychological outcomes at 10 years. Neurotoxicology and Teratology 24(3):309-320.
Robinson, T.E., and Berridge, K.C., 2000. The psychology and neurobiology of addiction: An incentive-sensitization view. Addiction 95 Suppl 2:S91-117.
Rogers, R.D., et al., 1999. Dissociable deficits in the decision-making cognition of chronic amphetamine abusers, opiate abusers, patients with focal damage to prefrontal cortex, and
tryptophan-depleted normal volunteers: Evidence for monoaminergic mechanisms. Neuropsychopharmacology 20(4):322-339.
Rukstalis, M., et al., 2005. Increases in hyperactive-impulsive symptoms predict relapse among smokers in nicotine replacement therapy. Journal of Substance Abuse Treatment
28(4):297-304.
Ryback, R.S., 1971. The continuum and specificity of the effects of alcohol on memory. A review. Quarterly Journal of Studies on Alcohol 32(4):995-1016.
See, R.E., 2005. Neural substrates of cocaine-cue associations that trigger relapse. European Journal of Pharmacology 526(1-3):140-146.
Semenova, S.; Stolerman, I.P.; and Markou, A., 2007. Chronic nicotine administration improves attention while nicotine withdrawal induces performance deficits in the 5-choice serial
reaction time task in rats. Pharmacology Biochemistry and Behavior 87(3):360-368.
Setlow, B., 1997. The nucleus accumbens and learning and memory. Journal of Neuroscience Research 49(5):515-521.
Slamberová, R., et al., 2005. Learning in the Place navigation task, not the New-learning task, is altered by prenatal methamphetamine exposure. Developmental Brain Research 157:217-219.
Slotkin, T.A., et al., 2008. Adolescent nicotine administration changes the responses to nicotine given subsequently in adulthood: Adenylyl cyclase cell signaling in brain regions during
nicotine administration and withdrawal, and lasting effects. Brain Research Bulletin 76(5):522-530.
Solowij, N., et al., 2002. Cognitive functioning of long-term heavy cannabis users seeking treatment. JAMA 287(9):1123-1131.
Stiglick, A., and Kalant, H., 1982. Learning impairment in the radial-arm maze following prolonged cannabis treatment in rats. Psychopharmacology (Berl) 77(2):117-123.
Substance Abuse and Mental Health Services Administration (SAMHSA), 2007. Results from the 2006 National Survey on Drug Use and Health: National Findings. DHHS Pub. No. SMA
07-4343. Rockville, MD: SAMHSA. Available at: www.oas.samhsa.gov/NSDUH/2k6NSDUH/2k6results.cfm#8.1.3.
Sullivan, J.M., 2000. Cellular and molecular mechanisms underlying learning and memory impairments produced by cannabinoids. Learning & Memory 7(3):132-139.
Swan, G.E., and Lessov-Schlaggar, C.N., 2007. The effects of tobacco smoke and nicotine on cognition and the brain. Neuropsychology Review 17(3):259-273.
Tang, Y.L., et al., 2007. Comorbid psychiatric diagnoses and their association with cocaine-induced psychosis in cocaine-dependent subjects. American Journal on Addictions 16(5):343-351.
Thomas, A.J., and O’Brien, J.T., 2008. Depression and cognition in older adults. Current Opinion in Psychiatry 21(1):8-13.
Thomasius, R., et al., 2006. Mood, cognition and serotonin transporter availability in current and former ecstasy (MDMA) users: The longitudinal perspective. Journal of Psychopharma-
cology 20(2):211-225.
Toro, R., et al., 2008. Prenatal exposure to maternal cigarette smoking and the adolescent cerebral cortex. Neuropsychopharmacology 33(5):1019-1027.
Vaglenova, J., et al., 2008. Long-lasting teratogenic effects of nicotine on cognition: Gender specificity and role of AMPA receptor function. Neurobiology of Learning and Memory
90(3):527-536.
van Duijn, C.M., and Hofman, A., 1991. Relation between nicotine intake and Alzheimer’s disease. BMJ 302(6791):1491-1494.
Verdejo-García, A., and Pérez-García, M., 2007. Profile of executive deficits in cocaine and heroin polysubstance users: Common and differential effects on separate executive compo-
nents. Psychopharmacology (Berl) 190(4):517-530.
Volkow, N.D., et al., 2001. Loss of dopamine transporters in methamphetamine abusers recovers with protracted abstinence. Journal of Neuroscience 21(23):9414-9418.
Volkow, N.D., et al., 2006. Cocaine cues and dopamine in dorsal striatum: Mechanism of craving in cocaine addiction. Journal of Neuroscience 26(24):6583-6588.
Volkow, N.D., et al., 2009. Evaluating dopamine reward pathway in ADHD: Clinical implications. JAMA 302(10):1084-1091.
Wang, G.J., et al., 2004. Partial recovery of brain metabolism in methamphetamine abusers after protracted abstinence. American Journal of Psychiatry 161(2):242-248.
Yates, W.R., et al., 1998. Effect of fetal alcohol exposure on adult symptoms of nicotine, alcohol, and drug dependence. Alcoholism: Clinical and Experimental Research 22(4):914-920.
Yin, H.H., et al., 2007. Ethanol reverses the direction of long-term synaptic plasticity in the dorsomedial striatum. European Journal of Neuroscience 25(11):3226-3232.
Ziedonis, D.M., et al., 1994. Nicotine dependence and schizophrenia. Hospital & Community Psychiatry 45(3):204-206.