The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×

Abstract

Substance use disorder is a highly prevalent condition, leading to significant morbidity, mortality, and burden on the health care system. Substance use disorders are overrepresented among individuals with a mental illness. The term “dual diagnosis” was introduced by the World Health Organization in the mid-1990s and refers to the co-occurrence of a substance use disorder with mental illness—a more recently used term is “co-occurring disorders.” In the past decade, substantial progress has been made toward expanding psychotherapeutic and pharmacotherapeutic treatments for treating co-occurring disorders. Yet management remains a challenge among clinicians and has been a source of confusion and considerable controversy. This review describes the epidemiology and treatment of co-occurring disorders, with a focus on major depressive disorder, anxiety disorders, and attention-deficit hyperactivity disorder. Substance use may make diagnosis of the underlying psychiatric condition difficult, and a period of abstinence may be necessary. Findings from efficacy studies of medications used to treat co-occurring disorders are reviewed, as are results of preliminary studies of newer treatments, such as topiramate, ketamine, noninvasive brain stimulation, and deep brain stimulation. Treatment recommendations that combine medications and psychosocial interventions are summarized.

According to a 2017 report published by the Substance Abuse and Mental Health Services Administration, there were 4.9 million new users of alcohol, three million new users of marijuana, two million new misusers of prescription pain medications, and 1.9 million new users of cigarettes among persons ages 12 and over (1). Moreover, in 2017 19.7 million Americans ages 12 and over had a diagnosable substance use disorder—14.5 million with an alcohol use disorder and 7.5 million with a disorder involving an illicit drug (1). This figure represents 6.0% of all individuals ages 12 and over in the United States.

Given that the base rate of prevalence of substance use disorders is 6% and that individuals with a substance use disorder account for nearly 20% of all those with a mental illness, clearly, substance use disorders are overrepresented among individuals with a mental illness. For clinicians this presents a formidable challenge because their patients’ underlying psychiatric disorders may worsen a comorbid substance use disorder, and similarly, a substance use disorder may exacerbate an existing psychiatric disorder. Therefore, clinicians need to be aware of the impact that these conditions have on one another and how co-occurring mental and substance use disorders affect the treatment and prognostic outcomes of their patients. For the purposes of this review, we focus on the comorbidity of and therapeutic recommendations for substance use disorder in relation to major depressive disorder, anxiety disorders, and attention-deficit hyperactivity disorder (ADHD).

Epidemiology of Comorbid Mental and Substance Use Disorders

Depression

Approximately 7% of individuals in the United States report having recently experienced a major depressive episode (1, 2), and according to the Centers for Disease Control and Prevention, 8% of Americans ages 20 and over have experienced depression (3, 4). Previous work has reported strong associations between depression and the presence of a substance use disorder, with odds ratios ranging between 1.3 and 2.6 (5, 6). Epidemiological research has also shown that adolescents with a substance use disorder are more likely than those without one to have major depressive disorder and that adolescents with depression are more likely than those without depression to develop a substance use disorder (7, 8). In 2017, the percentage of adolescents aged 12 to 17 who used illicit drugs in the past year was higher among those with a past year major depressive episode than it was among those without a past year major depressive depressive episode (29.3% versus 14.3%) (1). Also, previous work has demonstrated that outcomes tend to be significantly worse among patients diagnosed as having both major depressive disorder and a substance use disorder, compared with patients who have only one of these diagnoses (911). This illustrates the interplay between these conditions and the need for the physician to consider and treat both disorders in tandem.

Anxiety Disorders

The lifetime prevalence of any anxiety disorder is 38% among women and 27% among men (12). The lifetime and 12-month prevalence of generalized anxiety disorder among Americans ages 13 and older are 4.3% and 2%, respectively, with generalized anxiety disorder being more common among women than among men (12). Previous reports of the lifetime prevalence of comorbid generalized anxiety disorder and substance use disorder are 2%, which is equivalent to the lifetime prevalence of generalized anxiety disorder without a substance use disorder (13). A meta-analysis by Lai et al. (5) also found that individuals with lifetime drug dependence were as much as 2.9 times more likely to develop illicit drug use and any anxiety disorder. Of interest, although anxiety disorders are more common among women, men with anxiety disorders appear to be more likely than women with these disorders to have a comorbid substance use disorder (12).

ADHD

The prevalence of ADHD among adults in the United States is 2.5%−4.4%, affecting nearly nine million adults across the country (14). Like depression and anxiety disorders, ADHD is overrepresented among individuals with a substance use disorder, with prevalence estimates ranging from 9.9% to 54% among adults and 8% to 44.3% among adolescents (15). Although various studies assessing the rate of comorbidity have reported highly variable values, a meta-analysis of the available literature estimated that the true prevalence rate of comorbid ADHD and substance use disorder is 23% (15). Recent meta-analyses have also reported that the risk of developing a substance use disorder varies by substance among children diagnosed as having ADHD (16, 17). For example, compared with children without a diagnosis of ADHD, those with an ADHD diagnosis are approximately twice as likely to develop a nicotine or cocaine use disorder, 1.3–2.0 times as likely to develop an alcohol use disorder, and almost three times as likely to develop a cannabis use disorder (16, 17). Estimates of the relative risk of developing any substance use disorder range from 1.47 to 2.64 times the risk for the general population. Of interest, children with ADHD were also more likely to report having ever used marijuana or nicotine, but not alcohol, compared with children without ADHD (16).

Complicating the matter further is the fact that individuals with ADHD often have other comorbid psychiatric disorders in addition to a substance use disorder. For example, among individuals with ADHD, 35%−50% have experienced a depressive episode in their lifetime and as many as 60% of adults diagnosed as having ADHD reported having an anxiety disorder at some point in their lifetime (18).

General Risk of Overdose

Aside from the chronic illnesses associated with long-term substance use, individuals with a substance use disorder also face the acute risk of overdose. An epidemiological study by Bohnert et al. (19) followed 327,631 individuals with a substance use disorder, among whom 2,324 died of an accidental overdose. The study found that among the various substances of abuse, opioid use disorder carried the greatest risk of overdose (19). Depression was also found to be a significant predictor of death due to overdose; 23.6% of all individuals who died of overdose were diagnosed as having some form of a depressive disorder (19). The hazard ratios for alcohol- or illicit drug–related overdoses were 1.89 and 1.23, respectively, for depressive disorders and for anxiety disorders (not including posttraumatic stress disorder [PTSD]) (19). Strikingly, these figures were found to increase to 3.02 and 3.07, respectively, in the case of medication-related accidental overdose (19). Ultimately, accidental overdose alone is insufficient for diagnosing a chronic substance use disorder. However, these findings at the very least indicate that people with certain psychiatric conditions who also use either illicit substances or opioid medications are at an elevated risk of overdose, compared with the general population.

Alcohol use and substance use disorders in general increase an individual’s risk of attempted suicide, with comorbid major depression and alcohol use disorder further elevating the risk (20). These findings provide support that underlying psychiatric comorbidities may exacerbate the risk of overdose among individuals with a substance use disorder.

Diagnostic Pitfalls in Co-Occurring Disorders

There are numerous challenges involved in both identifying and treating substance use disorders comorbid with other psychiatric disorders. The relationship between substance use disorder and conditions such as depression, anxiety, and ADHD is a bidirectional one, with the comorbid conditions often affecting treatment outcomes. Co-occurring disorders also have the added effect of obscuring one another, making it difficult to make appropriate diagnoses in this patient population. One reason is that the behaviors seen among patients with depression, anxiety, and ADHD are often mimicked among those with a substance use disorder. For example, acute intoxication from simultaneous alcohol and stimulant use can lead to manic- and hypomanic-like symptoms, and patients in withdrawal often exhibit agitation and mood-based symptoms seen with anxiety or depressive disorders (21). Similarly, chronic use of cocaine and amphetamines may lead to a decrease in appetite, diminished sleep, grandiose thoughts, and paranoid thinking patterns—symptoms that are often seen in cases of bipolar disorder. Alternatively, chronic use of central nervous system depressants, such as alcohol, benzodiazepines, and opioids, may lead to anhedonia, depressed mood, and abnormal sleep patterns (21).

To effectively diagnose an underlying psychiatric disorder, it may be necessary for a patient to be abstinent for weeks, and sometimes months, to allow for the symptoms of both substance use and withdrawal to fully subside. Drugs that act over longer durations require longer abstinence periods than do shorter-acting compounds. Often, getting a careful history of the patient’s symptoms that presented during past periods of abstinence is the best available method to rule out whether those symptoms are indicative of a primary psychiatric disorder or a psychiatric disorder that is a consequence of substance use (substance-induced disorder). However,, this may not be possible, and then the temporal relationship of the psychiatric disorder and the substance use disorder needs to be identified to determine whether the psychiatric disorder is a substance-induced disorder. When the onset of the two disorders occurs concurrently, then the clinician may have to use his or her judgment about whether the psychiatric symptoms are more intensive than what would be expected from the substance use disorder and thus require a targeted clinical intervention.

Other methodological approaches can also be applied to guide physicians. Urine toxicology, screening instruments (Addiction Severity Index, Beck Depression Inventory, and the Hamilton Depression Rating Scale), physical examination, substance use history, family history, premorbid history, and consultation with family members or of prior therapists’ information can help delineate a patient’s history of substance use problems and psychiatric illness.

Treatment Guidelines for Co-occurring Mental and Substance use Disorders

Patients with co-occurring disorders often require an integrated treatment approach—that is, to achieve significant improvements in the patient’s condition, physicians must properly utilize both pharmacological and psychotherapeutic approaches.

Pharmacologic and Psychosocial Treatment of Depression and Substance Use Disorder

Depression places a significant burden on individuals with a substance use disorder. Previous research has demonstrated that individuals with persistent depression and other depressive disorders are more likely to have a substance use disorder, compared with the general population (2227). Evidence strongly suggests that these conditions are associated with neurobiological impairments in the brain. For example, abnormalities in the circuitry of the frontal-limbic region of the brain, particularly the nucleus acumbens, have been implicated in the loss of reward responsiveness, which is believed to play a key role in depression (28). Similar alterations in the reward pathways of the brain are also observed among individuals with a substance use disorder (29). Neuroimaging studies have also shown reduced metabolic activity in the frontal-limbic region, hyperactivity of the amygdala, and a deficiency of dopamine-2 receptors in the brains of cocaine- and alcohol-dependent patients (30). Cocaine use disorder and pathological gambling are also linked to abnormal ventrolateral prefrontal cortex function, further implicating abnormalities in the reward processing system as a contributor to substance use disorder (31).

The current stance on addressing comorbid depression and substance use disorder is to treat the depression in the context of substance use disorder and to tailor treatment for depressive symptoms to the severity with which they present (32). Initiation of antidepressant medication may be indicated for individuals with moderate to severe depressive symptoms, depending on the history of the individual’s symptoms, the development of the symptoms during stable substance use, and the presence of suicidal ideation secondary to depression. Meta-analysis indicates that antidepressant medication may be successful in alleviating depressive symptoms, and possibly reducing substance use, among individuals with a substance use disorder and depression (32, 33). The overall effect size of this intervention was found to be small to moderate, and as noted by the authors of these publications, positive outcomes usually require at least 6 weeks of treatment (32, 33).

The current body of evidence includes mixed findings in terms of which antidepressant medication is superior for alleviating the symptoms of depression (34, 35). The most commonly prescribed antidepressants are selective serotonin reuptake inhibitors (SSRIs) (36). However, SSRIs have produced inconsistent results in treating depression among individuals with a substance use disorder (3741). This may be related to the small samples, short treatment duration, or dosages used in some of these studies. However, SSRIs are still recommended as the first-line medication because of their safety, tolerability, and lower risk of interaction with alcohol or other drugs (42, 43).

If a patient fails to respond to SSRIs, alternative medications include dopaminergic, noradrenergic, or mixed-mechanism-of-action antidepressants, such as bupropion, venlafaxine, mirtazapine, and tricyclic antidepressants (TCAs). Among these, TCAs have the largest quantity of empirical support with regard to efficacy (4447). In a double-blind placebo trial by Nunes et al. (47), imipramine reduced depressive symptoms to a greater degree than placebo among methadone-maintained opioid users. However, study participants in the imipramine group also experienced more cardiac and pulmonary side effects than those in the placebo condition. Another study, by McGrath et al. (48), found imipramine to be associated with improvement in depression among both adequately treated and intent-to-treat patients. However, 13 patients discontinued the study because of side effects, such as severe sedation, dizziness, constipation, gastrointestinal distress, and urinary retention. These findings demonstrate that although TCAs are effective in reducing the symptoms of depression, their tolerability is unfortunately low. This, along with the high risk of fatal drug interactions and the low therapeutic index, may limit their utility among individuals with comorbid depression and substance use disorder.

The use of psychotherapeutic interventions is also recommended. Interventions such as cognitive-behavioral therapy (CBT), motivational interviewing, 12-step facilitation, and the community reinforcement approach, have been demonstrated to be effective for patients with a substance use disorder (4954). In the context of a co-occurring substance use disorder and depression, the effect of these approaches in isolation is unfortunately limited.

With regard to alcohol, the greatest outcomes are usually seen with the combination of antidepressants and CBT (41). For example, Cornelius et al. (38) found that the combination of SSRIs and CBT produced greater reductions in drinking and depressive symptoms, compared with CBT alone. Moak et al. (55) reported that the combination of sertraline and CBT produced superior outcomes in terms of alleviating depression and reducing alcohol use, compared with sertraline alone.

In contrast, Schmitz et al. (56) found that among cocaine users, study participants receiving CBT alone had fewer cocaine-positive urine samples than those receiving both CBT and fluoxetine. Daley et al. (57) reported that motivational therapy reduced cocaine use and the severity of depression symptoms, compared with treatment as usual. However, all study participants received antidepressants, which made it impossible to determine whether the motivational therapy would have produced these effects in the absence of antidepressants.

Treatment Recommendations for Co-Occurring Anxiety Disorders and Substance Use Disorder

Anxiety disorders are among the most common class of psychiatric disorders in the United States and across the globe, frequently co-occurring with substance use disorders and causing greater functional impairment, increased disability, and worsening outcomes than for either disorder alone (5860). Studies among both animals and humans have shown the amygdala and prefrontal cortex to be involved in the development of anxiety and fear (61). The amygdala also constitutes a part of the mesolimbic pathway, which plays a role in the reward response seen in the brain in reaction to substance use (62). Dysfunction in glutamate-mediated neurotransmission from the prefrontal cortex to the nucleus acumbens has been shown to be linked to substance use and compulsive drug seeking (63).

Diagnosing substance use disorder with a co-occurring anxiety disorder can be a challenge, because it is difficult to determine whether a patient’s anxiety symptoms are caused by the effects of substance intoxication or withdrawal—that is, one disorder is happening as a direct or indirect consequence of the other—or whether the patient has two independent disorders that co-occur incidentally or because of common risk factors (64, 65). Among all anxiety disorders, generalized anxiety disorder has one of the highest comorbidity rates with substance use disorder, particularly among patients with alcohol use disorder (66). Randomized controlled trials (RCTs) have examined the efficacy of using buspirone in treating anxiety symptoms and alcohol dependence. Results indicated that buspirone performed better in alleviating anxiety and decreasing the frequency and quantity of alcohol consumption among persons with alcohol use disorder and anxiety (6770). However, the long-term utility of buspirone in reducing anxiety and substance use remains uncertain, and the high placebo response rate makes detecting any possible effects of the treatment difficult. Other medications for treating generalized anxiety disorder, such as paroxetine, sertraline, and escitalopram, have not yet been studied in clinical trials for treating generalized anxiety disorder and comorbid substance use disorder. Benzodiazepines are also effective in treating generalized anxiety disorder, but their use is controversial because of their high abuse liability. Compared with patients with other subtypes of anxiety disorders, patients with social anxiety more often report using alcohol and other drugs to alleviate their symptoms (71). RCTs testing paroxetine demonstrated its efficacy over placebo in treating social anxiety and alcohol use disorder simultaneously (72); however, treatment was often discontinued because of the high rates of sexual dysfunction as a side effect.

Some studies have also suggested using CBT as a form of psychosocial treatment that can help decrease both anxiety symptoms and risk of relapse among patients with comorbid generalized anxiety disorder and substance use disorder (73, 74). A review by Hesse (75) of the available literature indicated that integrated psychotherapeutic approaches are effective in terms of increasing days abstinent and decreasing the symptoms of anxiety. A review by Fatseas et al. (76) found that the combination of CBT and antidepressants produced the greatest outcomes among opioid-dependent individuals with comorbid anxiety (76). These findings underscore the need for physicians treating comorbid anxiety and substance use disorder to implement both pharmacological and psychotherapeutic treatments to maximize the quality of care provided to their patients.

ADHD and Substance Use Disorder Treatment

ADHD is a syndrome that is characterized by a persistent pattern of inattention or impulsivity and hyperactivity that is inappropriate for a given age and developmental level. ADHD is the most prevalent mental disorder in childhood (77, 78), and almost 60% of children with ADHD have ongoing symptoms as adults (7982). Underactivity of the dopamine reward pathway as evidenced by studies showing decreased dopamine transporter binding across different brain areas, such as the nucleus acumbens, midbrain, left caudate, and hypothalamus (8385), is implicated in ADHD neuropathology. Similar deficits in dopaminergic activity were demonstrated among individuals with substance use disorders (85, 86), suggesting that both ADHD and substance use disorders may involve abnormalities in circuits related to reward processing (16).

Diagnosing ADHD in the context of substance use disorder is difficult; the risk of underdiagnosis and overdiagnosis is high among patients with a substance use disorder. Clinicians often fail to assess for ADHD, which leads to underdiagnosis. However, overdiagnosis can occur when the symptoms of intoxication or withdrawal are thought to be ADHD symptoms. A practical approach for the diagnosis of ADHD among adults with a substance use disorder might be to consider whether ADHD symptoms began during early adolescence, whether symptoms were noted on school performance reports, and whether symptoms occurred during periods of abstinence. Also, collateral information from the family about whether the individual showed ADHD symptoms in childhood or adolescence, prior to the onset of substance use, can be helpful (78). In the absence of this information and when symptoms present after a substance use disorder, a diagnosis of ADHD is less likely.

The use of stimulant and nonstimulant medications among individuals with a co-occurring substance use disorder and ADHD has been controversial over the years. The main reason for reluctance to prescribe psychostimulants is their high abuse potential. Another related concern raised by clinicians is that stimulant treatment could worsen the substance use disorder. This has not been shown in clinical trials, and stimulant treatment of ADHD at modest dosages has been shown to reduce substance use as well (8789). Some of these clinical trials had mixed findings, and their inherent limitations affected the observed outcomes. Such limitations include high treatment discontinuation rate, suboptimal dosing, and low severity of ADHD symptoms at baseline. Chronic substance use dysregulates dopamine neurotransmission, which may require physicians to use doses of methylphenidate and dextroamphetamine that are higher than the standard when treating patients with a substance use disorder and co-occurring ADHD (88, 90, 91).

Although research trials have shown mixed results in the treatment of substance use disorder with co-occurring ADHD, an optimal treatment approach is to consider stimulant medications based on the severity of ADHD symptoms; attend to the risk-benefit analysis; and monitor individuals closely for potential misuse, abuse, and diversion (9294). Research on methylphenidate (95) and amphetamine formulations (9699) for the treatment of cocaine dependence and cannabis dependence among ADHD patients has demonstrated that stimulants have a relatively low risk of abuse under monitored conditions. This is especially true for long-acting psychostimulants (89, 92). A study by Cassidy et al. (100) showed that the incidence of diversion and misuse was lower for extended-release amphetamines (0.5%), compared with immediate-release amphetamines (1.1%). The main reasons for the difference are the slow rate of onset and fewer reinforcing effects of long-acting formulations (100).

In some studies, nonstimulant medications, such as atomoxetine, TCAs, bupropion, venlafaxine, monoamine oxidase inhibitors, clonidine, guanfacine, and modafinil, were studied among patients with ADHD and a substance use disorder. Most of these medications were used off label and had limited efficacy in treating ADHD with a co-occurring substance use disorder (101107).

Although pharmacotherapy remains the main approach to treating ADHD, psychosocial interventions, such as psychoeducation and CBT, can be combined with medications to optimize the long-term management of this disorder (108110).

The literature about ADHD among patients with a substance use disorder currently shows that treatment has a moderate effect size in reducing ADHD symptoms and substance use. However, long-term treatment should be initiated for high-risk patients, not only to stabilize ADHD symptoms but also to reduce substance use and promote abstinence.

Future Directions

Several pharmacological and nonpharmacological interventions have been designed to treat substance use disorder with co-occurring mental illness. A critical goal is to identify specific therapeutic options that are beneficial for individuals with co-occurring disorders. However, circumstances in both the mental health and the addiction treatment systems make the delivery of optimal health care difficult. A very promising line of research has focused on developing novel treatment approaches for co-occurring disorders.

A double-blind placebo trial by Pettinati et al. (111) that involved patients with depression and co-occurring alcohol use disorders showed that combining sertraline and naltrexone was useful in increasing days abstinent and improving depressive symptoms, compared with treatment with sertraline alone, naltrexone alone, or placebo.

Topiramate, a nonbenzodiazepine anticonvulsant, was studied as a new therapeutic treatment for alcohol use disorder and for other substance use disorders. RCTs (112114) and a meta-analysis study (115) found topiramate to be associated with a decrease in alcohol dependence, a decline in heavy drinking days, improved quality of life, and reduction in harmful consequences of drinking, compared with placebo. To our knowledge, no study has evaluated topiramate for persons with an alcohol use disorder and a mood disorder. However, limited trials have demonstrated topiramate’s efficacy in targeting PTSD symptoms among heavy alcohol users. Alderman et al. (116), in an open-label pilot study involving 29 combat veterans, demonstrated topiramate to be a safe and effective treatment in reducing PTSD symptoms (nightmares and anxiety) and decreasing alcohol consumption. In a prospective randomized study conducted with veterans who had co-occurring alcohol use disorder and PTSD, topiramate showed a reduction in alcohol use, cravings, and PTSD symptoms from baseline to week 12 (117). These two studies showed topiramate to be a promising treatment for PTSD comorbid with alcohol use disorder on the basis of its GABA/glutamate inhibitory action, which is common in both disorders.

Ketamine, a dissociative anesthetic, is a potent N-methyl-d-aspartate (NMDA) glutaminergic receptor antagonist that may provide a novel and integrated treatment for substance use disorder with co-occurring mental illness. Meta-analyses have shown ketamine’s utility in treating severe depression and suicidal ideation (118120). This is mainly the result of its effects on glutamate neuromodulation, increased prefrontal synaptic remodeling, and neural plasticity (121123). This unique effect of ketamine on glutamate regulation has also shown promising results in reduced cravings, decreased self-administration of illicit drugs, and higher rates of abstinence, compared with placebo, for a variety of substance use disorders (124127). However, the relevance of ketamine in a combined approach for treating comorbid depression and substance use disorder has not been fully explored in clinical trials. Many individuals have co-occurring major depressive disorder and a substance use disorder, and thus ketamine’s role as a glutamate modulator and NMDA antagonist in the brain may serve as a therapeutic target for this group.

Noninvasive brain stimulation (NIBS) technologies are becoming increasingly recognized in substance use disorder treatment for their safety, tolerability, and accessibility in modulating neural activity within the brain. Repetitive transcranial magnetic stimulation (rTMS) is an emerging NIBS intervention for treatment of substance use disorders. rTMS applies powerful and focused magnetic field pulses through the skull into the brain, leading to alterations in brain activity (128, 129). Multiple RCTs have shown rTMS to be useful in treating major depressive disorder through enhancement of activity in the dorsolateral prefrontal cortex (DLPFC) of the brain (130133). Similarly, in treating substance use disorders, rTMS has shown a reduction in craving with a small to medium effect size (134146). However, its role in treating comorbid major depressive disorder and substance use disorder as a combined approach is limited. In a recent open-label follow-up study, Rapinesi et al. (147) showed that use of high-frequency rTMS applied to bilateral DLPFC through a deep helmet coil yielded a faster response in improving depressive symptoms among patients with co-occurring major depressive disorder and alcohol use disorder, compared with those with major depressive disorder alone. The study also demonstrated reduced alcohol cravings in the group with co-occurring major depressive disorder and alcohol use disorder. However, there were limitations because of the small sample and because sham control groups were not used (147). Because DLPFC is associated with both mood and reward mechanisms (148151), rTMS focused on DLPFC may be a clinically useful treatment for patients with co-occurring disorders.

Another new treatment approach has focused on studying the usefulness of deep brain stimulation (DBS) in treating psychiatric disorders and substance use disorders. Via surgically implanted microelectrodes, DBS provides continuous stimulation to deeper regions of the brain, compared with rTMS, and is powered by an implantable pulse generator. Originally designed to treat intractable movement disorders, DBS has been successful in treating psychiatric conditions such as treatment-refractory depression and obsessive-compulsive disorder (152154). Treatment pertaining to DBS in psychiatric illnesses has focused mainly on stimulating the nucleus acumbens and subthalamic nucleus (155). These brain regions are potential targets for the use of DBS in addiction treatment. Studies of DBS for treating substance use disorders is limited to case reports and case series, and thus its efficacy in treating these disorders is unclear. Existing studies suggest that DBS reduces alcohol and drug intake and craving and leads to greater abstinence among alcohol, heroin, and cocaine users (156161). However, longitudinal studies validating DBS treatment for co-occurring mental and substance use disorders are required, and no RCTs have been published. Moreover, its surgical invasiveness is likely to limit the use of DBS to those with severe psychiatric and substance use disorders.

Taken together, there are numerous promising avenues to pursue. However, clear-cut treatment recommendations using these novel interventions would be premature. Future research is needed to examine the neurobiological mechanisms that may lead to clinical improvement as well as the overall efficacy of these innovative approaches in the various populations with co-occurring disorders.

Conclusions

Mental and substance use disorders co-occur frequently, and the presence of co-occurring disorders may reduce diagnostic certainty. Moreover, individuals with co-occurring disorders require comprehensive treatment approaches. Left untreated, comorbid disorders often lead to worse outcomes than either disorder alone. Research studies and meta-analyses of treatments for co-occurring disorders have reported mixed findings, and current treatment recommendations provide an understanding of how to combine existing therapeutic approaches. Treating co-occurring disorders is feasible and can be effective, but treatment often requires more intensive interventions than with a single disorder. Finally, previous studies may help researchers design future trials to determine the best treatments for co-occurring mental and substance use disorders.

Division on Substance Use Disorders, New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York (all authors); Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (F. Levin).
Send correspondence to Dr. Iqbal ().

Dr. F. Levin reports serving as a consultant to Major League Baseball. The other authors report no financial relationships with commercial interests.

References

1 Key Substance Use and Mental Health Indicators in the United States: Results From the 2017 National Survey on Drug Use and Health. Rockville, MD, Substance Abuse and Mental Health Services Administration, 2018Google Scholar

2 Greenberg PE, Fournier AA, Sisitsky T, et al.: The economic burden of adults with major depressive disorder in the United States (2005 and 2010). J Clin Psychiatry 2015; 76:155–162CrossrefGoogle Scholar

3 Centers for Disease Control and Prevention (CDC): Current depression among adults—United States, 2006 and 2008. Morb Mortal Wkly Rep 2010; 59:1229–1235Google Scholar

4 Green KM, Zebrak KA, Fothergill KE, et al.: Childhood and adolescent risk factors for comorbid depression and substance use disorders in adulthood. Addict Behav 2012; 37:1240–1247CrossrefGoogle Scholar

5 Lai HM, Cleary M, Sitharthan T, et al.: Prevalence of comorbid substance use, anxiety and mood disorders in epidemiological surveys, 1990–2014: a systematic review and meta-analysis. Drug Alcohol Depend 2015; 154:1–13CrossrefGoogle Scholar

6 Grant BF, Saha TD, Ruan WJ, et al.: Epidemiology of DSM-5 drug use disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions–III. JAMA Psychiatry 2016; 73:39–47CrossrefGoogle Scholar

7 Avenevoli S, Swendsen J, He JP, et al.: Major depression in the National Comorbidity Survey–Adolescent Supplement: prevalence, correlates, and treatment. J Am Acad Child Adolesc Psychiatry 2015; 54:37–44.e2CrossrefGoogle Scholar

8 Copeland WE, Shanahan L, Costello EJ, et al.: Childhood and adolescent psychiatric disorders as predictors of young adult disorders. Arch Gen Psychiatry 2009; 66:764–772CrossrefGoogle Scholar

9 Regier DA, Farmer ME, Rae DS, et al.: Comorbidity of mental disorders with alcohol and other drug abuse: results from the Epidemiologic Catchment Area (ECA) Study. JAMA 1990; 264:2511–2518CrossrefGoogle Scholar

10 Kessler RC, Crum RM, Warner LA, et al.: Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the National Comorbidity Survey. Arch Gen Psychiatry 1997; 54:313–321CrossrefGoogle Scholar

11 Hasin DS, Nunes EV: Comorbidity of alcohol, drug, and psychiatric disorders: epidemiology. Drug Alcohol Depend 1998; 39:197–206Google Scholar

12 Kessler RC, Petukhova M, Sampson NA, et al.: Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States. Int J Methods Psychiatr Res 2012; 21:169–184CrossrefGoogle Scholar

13 Alegría AA, Hasin DS, Nunes EV, et al.: Comorbidity of generalized anxiety disorder and substance use disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry 2010; 71:1187–1195CrossrefGoogle Scholar

14 Fayyad J, Sampson NA, Hwang I, et al.: The descriptive epidemiology of DSM-IV adult ADHD in the World Health Organization World Mental Health Surveys. Atten Defic Hyperact Disord 2017; 9:47–65CrossrefGoogle Scholar

15 van Emmerik-van Oortmerssen K, van de Glind G, van den Brink W, et al.: Prevalence of attention-deficit hyperactivity disorder in substance use disorder patients: a meta-analysis and meta-regression analysis. Drug Alcohol Depend 2012; 122:11–19CrossrefGoogle Scholar

16 Lee SS, Humphreys KL, Flory K, et al.: Prospective association of childhood attention-deficit/hyperactivity disorder (ADHD) and substance use and abuse/dependence: a meta-analytic review. Clin Psychol Rev 2011; 31:328–341CrossrefGoogle Scholar

17 Wilens TE, Martelon M, Joshi G, et al.: Does ADHD predict substance-use disorders? A 10-year follow-up study of young adults with ADHD. J Am Acad Child Adolesc Psychiatry 2011; 50:543–553CrossrefGoogle Scholar

18 Sobanski E: Psychiatric comorbidity in adults with attention-deficit/hyperactivity disorder (ADHD). Eur Arch Psychiatry Clin Neurosci 2006; 256(suppl 1):i26–i31CrossrefGoogle Scholar

19 Bohnert AS, Ilgen MA, Ignacio RV, et al.: Risk of death from accidental overdose associated with psychiatric and substance use disorders. Am J Psychiatry 2012; 169:64–70CrossrefGoogle Scholar

20 Yuodelis-Flores C, Ries RK: Addiction and suicide: a review. Am J Addict 2015; 24:98–104CrossrefGoogle Scholar

21 Quello SB, Brady KT, Sonne SC: Mood disorders and substance use disorder: a complex comorbidity. Sci Pract Perspect 2005; 3:13–21CrossrefGoogle Scholar

22 Blanco C, Olfson M, Goodwin RD, et al.: Generalizability of clinical trial results for major depression to community samples: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry 2008; 69:1276–1280CrossrefGoogle Scholar

23 McLellan AT, Druley KA: Non-random relation between drugs of abuse and psychiatric diagnosis. J Psychiatr Res 1977; 13:179–184CrossrefGoogle Scholar

24 Kessler RC, McGonagle KA, Zhao S, et al.: Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: results from the National Comorbidity Survey. Arch Gen Psychiatry 1994; 51:8–19CrossrefGoogle Scholar

25 Kessler RC: The epidemiology of dual diagnosis. Biol Psychiatry 2004; 56:730–737CrossrefGoogle Scholar

26 Grant BF: Comorbidity between DSM-IV drug use disorders and major depression: results of a national survey of adults. J Subst Abuse 1995; 7:481–497CrossrefGoogle Scholar

27 Grant BF, Harford TC: Comorbidity between DSM-IV alcohol use disorders and major depression: results of a national survey. Drug Alcohol Depend 1995; 39:197–206CrossrefGoogle Scholar

28 Drevets WC, Price JL, Furey ML: Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression. Brain Struct Funct 2008; 213:93–118CrossrefGoogle Scholar

29 Gardner EL: Addiction and brain reward and antireward pathways. Adv Psychosom Med 2011; 30:22–60CrossrefGoogle Scholar

30 Volkow ND, Fowler JS: Addiction, a disease of compulsion and drive: involvement of the orbitofrontal cortex. Cereb Cortex 2000; 10:318–325CrossrefGoogle Scholar

31 Boileau I, Assaad JM, Pihl RO, et al.: Alcohol promotes dopamine release in the human nucleus accumbens. Synapse 2003; 49:226–231CrossrefGoogle Scholar

32 Nunes EV, Levin FR: Treatment of depression in patients with alcohol or other drug dependence: a meta-analysis. JAMA 2004; 291:1887–1896CrossrefGoogle Scholar

33 Walsh BT, Seidman SN, Sysko R, et al.: Placebo response in studies of major depression: variable, substantial, and growing. JAMA 2002; 287:1840–1847CrossrefGoogle Scholar

34 Torrens M, Fonseca F, Mateu G, et al.: Efficacy of antidepressants in substance use disorders with and without comorbid depression: a systematic review and meta-analysis. Drug Alcohol Depend 2005; 78:1–22CrossrefGoogle Scholar

35 Watkins KE, Hunter SB, Burnam MA, et al.: Review of treatment recommendations for persons with a co-occurring affective or anxiety and substance use disorder. Psychiatr Serv 2005; 56:913–926CrossrefGoogle Scholar

36 Olfson M, Marcus SC: National patterns in antidepressant medication treatment. Arch Gen Psychiatry 2009; 66:848–856CrossrefGoogle Scholar

37 Roy A: Placebo-controlled study of sertraline in depressed recently abstinent alcoholics. Biol Psychiatry 1998; 44:633–637CrossrefGoogle Scholar

38 Cornelius JR, Salloum IM, Ehler JG, et al.: Fluoxetine in depressed alcoholics: a double-blind, placebo-controlled trial. Arch Gen Psychiatry 1997; 54:700–705CrossrefGoogle Scholar

39 Kranzler HR, Burleson JA, Brown J, et al.: Fluoxetine treatment seems to reduce the beneficial effects of cognitive-behavioral therapy in type B alcoholics. Alcohol Clin Exp Res 1996; 20:1534–1541CrossrefGoogle Scholar

40 Pettinati HM, Volpicelli JR, Kranzler HR, et al.: Sertraline treatment for alcohol dependence: interactive effects of medication and alcoholic subtype. Alcohol Clin Exp Res 2000; 24:1041–1049CrossrefGoogle Scholar

41 Kelly TM, Daley DC, Douaihy AB: Treatment of substance abusing patients with comorbid psychiatric disorders. Addict Behav 2012; 37:11–24CrossrefGoogle Scholar

42 Pettinati HM, Volpicelli JR, Luck G, et al.: Double-blind clinical trial of sertraline treatment for alcohol dependence. J Clinical Psychopharmacology 2001; 21:143–153CrossrefGoogle Scholar

43 Petrakis I, Carroll KM, Nich C, et al.: Fluoxetine treatment of depressive disorders in methadone-maintained opioid addicts. Drug Alcohol Depend 1998; 50:221–226CrossrefGoogle Scholar

44 Hall SM, Reus VI, Muñoz RF, et al.: Nortriptyline and cognitive-behavioral therapy in the treatment of cigarette smoking. Arch Gen Psychiatry 1998; 55:683–690CrossrefGoogle Scholar

45 Nunes EV, Sullivan MA, Levin FR: Treatment of depression in patients with opiate dependence. Biol Psychiatry 2004; 56:793–802CrossrefGoogle Scholar

46 Kleber HD, Weissman MM, Rounsaville BJ, et al.: Imipramine as treatment for depression in addicts. Arch Gen Psychiatry 1983; 40:649–653CrossrefGoogle Scholar

47 Nunes EV, Quitkin FM, Donovan SJ, et al.: Imipramine treatment of opiate-dependent patients with depressive disorders: a placebo-controlled trial. Arch Gen Psychiatry 1998; 55:153–160CrossrefGoogle Scholar

48 McGrath PJ, Nunes EV, Stewart JW, et al.: Imipramine treatment of alcoholics with primary depression: a placebo-controlled clinical trial. Arch Gen Psychiatry 1996; 53:232–240CrossrefGoogle Scholar

49 Crawford MJ, Patton R, Touquet R, et al.: Screening and referral for brief intervention of alcohol-misusing patients in an emergency department: a pragmatic randomised controlled trial. Lancet 2004; 364:1334–1339CrossrefGoogle Scholar

50 Brown J, Miller W: Impact of motivational interviewing on participation and outcome in residential and alcoholism treatment. Psychol Addict Behav 1993; 7:211–218CrossrefGoogle Scholar

51 Beck AT, Wright FD, Newman CF, et al.: Cognitive Therapy of Substance Abuse. New York, Guilford, 1993Google Scholar

52 Carroll KM, Onken LS: Behavioral therapies for drug abuse. Am J Psychiatry 2005; 162:1452–1460CrossrefGoogle Scholar

53 Irvin JE, Bowers CA, Dunn ME, et al.: Efficacy of relapse prevention: a meta-analytic review. J Consult Clin Psychol 1999; 67:563–570CrossrefGoogle Scholar

54 Prendergast M, Podus D, Finney J, et al.: Contingency management for treatment of substance use disorders: a meta-analysis. Addiction 2006; 101:1546–1560CrossrefGoogle Scholar

55 Moak DH, Anton RF, Latham PK, et al.: Sertraline and cognitive behavioral therapy for depressed alcoholics: results of a placebo-controlled trial. J Clin Psychopharmacol 2003; 23:553–562CrossrefGoogle Scholar

56 Schmitz JM, Averill P, Stotts AL, et al.: Fluoxetine treatment of cocaine-dependent patients with major depressive disorder. Drug Alcohol Depend 2001; 63:207–214CrossrefGoogle Scholar

57 Daley DC, Salloum IM, Zuckoff A, et al.: Increasing treatment adherence among outpatients with depression and cocaine dependence: results of a pilot study. Am J Psychiatry 1998; 155:1611–1613CrossrefGoogle Scholar

58 Kessler RC, Berglund P, Demler O, et al.: Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005; 62:593–602CrossrefGoogle Scholar

59 Kessler RC, Chiu WT, Demler O, et al.: Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005; 62:617–627CrossrefGoogle Scholar

60 Bruce SE, Yonkers KA, Otto MW, et al.: Influence of psychiatric comorbidity on recovery and recurrence in generalized anxiety disorder, social phobia, and panic disorder: a 12-year prospective study. Am J Psychiatry 2005; 162:1179–1187CrossrefGoogle Scholar

61 Anand A, Shekhar A: Brain imaging studies in mood and anxiety disorders: special emphasis on the amygdala. Ann N Y Acad Sci 2003; 985:370–388CrossrefGoogle Scholar

62 Koob GF: The neurobiology of addiction: a neuroadaptational view relevant for diagnosis. Addiction 2006; 101(suppl 1):23–30CrossrefGoogle Scholar

63 Kalivas PW, Volkow ND: The neural basis of addiction: a pathology of motivation and choice. Am J Psychiatry 2005; 162:1403–1413CrossrefGoogle Scholar

64 Boschloo L, Vogelzangs N, van den Brink W, et al.: Alcohol use disorders and the course of depressive and anxiety disorders. Br J Psychiatry 2012; 200:476–484CrossrefGoogle Scholar

65 Wittchen H-U, Zhao S, Kessler RC, et al.: DSM-III-R generalized anxiety disorder in the National Comorbidity Survey. Arch Gen Psychiatry 1994; 51:355–364CrossrefGoogle Scholar

66 Kranzler HR, Burleson JA, Del Boca FK, et al.: Buspirone treatment of anxious alcoholics: a placebo-controlled trial. Arch Gen Psychiatry 1994; 51:720–731CrossrefGoogle Scholar

67 Malec E, Malec T, Gagné MA, et al.: Buspirone in the treatment of alcohol dependence: a placebo-controlled trial. Alcohol Clin Exp Res 1996; 20:307–312CrossrefGoogle Scholar

68 Malcolm R, Anton RF, Randall CL, et al.: A placebo-controlled trial of buspirone in anxious inpatient alcoholics. Alcohol Clin Exp Res 1992; 16:1007–1013CrossrefGoogle Scholar

69 Tollefson GD, Montague-Clouse J, Tollefson SL: Treatment of comorbid generalized anxiety in a recently detoxified alcoholic population with a selective serotonergic drug (buspirone). J Clin Psychopharmacol 1992; 12:19–26CrossrefGoogle Scholar

70 McKeehan MB, Martin D: Assessment and treatment of anxiety disorders and comorbid alcohol/other drug dependency. Alcohol Treat Q 2002; 20:45–59CrossrefGoogle Scholar

71 Bolton J, Cox B, Clara I, et al.: Use of alcohol and drugs to self-medicate anxiety disorders in a nationally representative sample. J Nerv Ment Dis 2006; 194:818–825CrossrefGoogle Scholar

72 Randall CL, Johnson MR, Thevos AK, et al.: Paroxetine for social anxiety and alcohol use in dual-diagnosed patients. Depress Anxiety 2001; 14:255–262CrossrefGoogle Scholar

73 Davidson JR, Foa EB, Huppert JD, et al.: Fluoxetine, comprehensive cognitive behavioral therapy, and placebo in generalized social phobia. Arch Gen Psychiatry 2004; 61:1005–1013CrossrefGoogle Scholar

74 Kessler RC, Sonnega A, Bromet E, et al.: Posttraumatic stress disorder in the National Comorbidity Survey. Arch Gen Psychiatry 1995; 52:1048–1060CrossrefGoogle Scholar

75 Hesse M: Integrated psychological treatment for substance use and co-morbid anxiety or depression vs treatment for substance use alone: a systematic review of the published literature. BMC Psychiatry 2009; 9:6CrossrefGoogle Scholar

76 Fatseas M, Denis C, Lavie E, et al.: Relationship between anxiety disorders and opiate dependence: a systematic review of the literature: implications for diagnosis and treatment. J Subst Abuse Treat 2010; 38:220–230CrossrefGoogle Scholar

77 Barbaresi WJ, Katusic SK, Colligan RC, et al.: How common is attention-deficit/hyperactivity disorder? Incidence in a population-based birth cohort in Rochester, Minn. Arch Pediatr Adolesc Med 2002; 156:217–224CrossrefGoogle Scholar

78 Adler L, Cohen J: Diagnosis and evaluation of adults with attention-deficit/hyperactivity disorder. Psychiatr Clin North Am 2004; 27:187–201CrossrefGoogle Scholar

79 Biederman J, Mick E, Faraone SV: Age-dependent decline of symptoms of attention deficit hyperactivity disorder: impact of remission definition and symptom type. Am J Psychiatry 2000; 157:816–818CrossrefGoogle Scholar

80 Rasmussen P, Gillberg C: Natural outcome of ADHD with developmental coordination disorder at age 22 years: a controlled, longitudinal, community-based study. J Am Acad Child Adolesc Psychiatry 2000; 39:1424–1431CrossrefGoogle Scholar

81 Barkley RA, Fischer M, Smallish L, et al.: The persistence of attention-deficit/hyperactivity disorder into young adulthood as a function of reporting source and definition of disorder. J Abnorm Psychol 2002; 111:279–289CrossrefGoogle Scholar

82 Kessler RC, Adler LA, Barkley R, et al.: Patterns and predictors of attention-deficit/hyperactivity disorder persistence into adulthood: results from the National Comorbidity Survey Replication. Biol Psychiatry 2005; 57:1442–1451CrossrefGoogle Scholar

83 Volkow ND, Fowler JS, Wang GJ, et al.: Role of dopamine, the frontal cortex and memory circuits in drug addiction: insight from imaging studies. Neurobiol Learn Mem 2002; 78:610–624CrossrefGoogle Scholar

84 Volkow ND, Wang GJ, Kollins SH, et al.: Evaluating dopamine reward pathway in ADHD: clinical implications. JAMA 2009; 302:1084–1091CrossrefGoogle Scholar

85 Volkow ND, Wang GJ, Telang F, et al.: Profound decreases in dopamine release in striatum in detoxified alcoholics: possible orbitofrontal involvement. J Neurosci 2007; 27:12700–12706CrossrefGoogle Scholar

86 Wong DF, Kuwabara H, Schretlen DJ, et al.: Increased occupancy of dopamine receptors in human striatum during cue-elicited cocaine craving. Neuropsychopharmacology 2006; 31:2716–2727CrossrefGoogle Scholar

87 Wilens TE, Faraone SV, Biederman J, et al.: Does stimulant therapy of attention-deficit/hyperactivity disorder beget later substance abuse? A meta-analytic review of the literature. Pediatrics 2003; 111:179–185CrossrefGoogle Scholar

88 Konstenius M, Jayaram-Lindström N, Guterstam J, et al.: Methylphenidate for attention deficit hyperactivity disorder and drug relapse in criminal offenders with substance dependence: a 24-week randomized placebo-controlled trial. Addiction 2014; 109:440–449CrossrefGoogle Scholar

89 Levin FR, Mariani JJ, Specker S, et al.: Extended-release mixed amphetamine salts vs placebo for comorbid adult attention-deficit/hyperactivity disorder and cocaine use disorder: a randomized clinical trial. JAMA Psychiatry 2015; 72:593–602CrossrefGoogle Scholar

90 Volkow ND, Morales M: The brain on drugs: from reward to addiction. Cell 2015; 162:712–725CrossrefGoogle Scholar

91 Volkow ND, Fowler JS, Wang GJ: Imaging studies on the role of dopamine in cocaine reinforcement and addiction in humans. J Psychopharmacol 1999; 13:337–345CrossrefGoogle Scholar

92 Wilens TE, Gignac M, Swezey A, et al.: Characteristics of adolescents and young adults with ADHD who divert or misuse their prescribed medications. J Am Acad Child Adolesc Psychiatry 2006; 45:408–414CrossrefGoogle Scholar

93 Gordon SM, Tulak F, Troncale J: Prevalence and characteristics of adolescent patients with co-occurring ADHD and substance dependence. J Addict Dis 2004; 23:31–40CrossrefGoogle Scholar

94 Williams RJ, Goodale LA, Shay-Fiddler MA, et al.: Methylphenidate and dextroamphetamine abuse in substance-abusing adolescents. Am J Addict 2004; 13:381–389CrossrefGoogle Scholar

95 Schubiner H, Saules KK, Arfken CL, et al.: Double-blind placebo-controlled trial of methylphenidate in the treatment of adult ADHD patients with comorbid cocaine dependence. Exp Clin Psychopharmacol 2002; 10:286–294CrossrefGoogle Scholar

96 Grabowski J, Rhoades H, Schmitz J, et al.: Dextroamphetamine for cocaine-dependence treatment: a double-blind randomized clinical trial. J Clin Psychopharmacol 2001; 21:522–526CrossrefGoogle Scholar

97 Shearer J, Wodak A, van Beek I, et al.: Pilot randomized double blind placebo-controlled study of dexamphetamine for cocaine dependence. Addiction 2003; 98:1137–1141CrossrefGoogle Scholar

98 Shearer J, Wodak A, Mattick RP, et al.: Pilot randomized controlled study of dexamphetamine substitution for amphetamine dependence. Addiction 2001; 96:1289–1296CrossrefGoogle Scholar

99 White R: Dexamphetamine substitution in the treatment of amphetamine abuse: an initial investigation. Addiction 2000; 95:229–238CrossrefGoogle Scholar

100 Cassidy TA, Varughese S, Russo L, et al.: Nonmedical use and diversion of ADHD stimulants among US adults ages 18–49: a national internet survey. J Atten Disord 2015; 19:630–640CrossrefGoogle Scholar

101 Michelson D, Adler L, Spencer T, et al.: Atomoxetine in adults with ADHD: two randomized, placebo-controlled studies. Biol Psychiatry 2003; 53:112–120CrossrefGoogle Scholar

102 Wilens TE, Spencer TJ, Biederman J, et al.: A controlled clinical trial of bupropion for attention deficit hyperactivity disorder in adults. Am J Psychiatry 2001; 158:282–288CrossrefGoogle Scholar

103 Wilens TE, Haight BR, Horrigan JP, et al.: Bupropion XL in adults with attention-deficit/hyperactivity disorder: a randomized, placebo-controlled study. Biol Psychiatry 2005; 57:793–801CrossrefGoogle Scholar

104 Mukaddes NM, Abali O: Venlafaxine in children and adolescents with attention deficit hyperactivity disorder. Psychiatry Clin Neurosci 2004; 58:92–95CrossrefGoogle Scholar

105 Connor DF, Fletcher KE, Swanson JM: A meta-analysis of clonidine for symptoms of attention-deficit hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 1999; 38:1551–1559CrossrefGoogle Scholar

106 Taylor FB, Russo J: Comparing guanfacine and dextroamphetamine for the treatment of adult attention-deficit/hyperactivity disorder. J Clin Psychopharmacol 2001; 21:223–228CrossrefGoogle Scholar

107 Biederman J, Swanson JM, Wigal SB, et al.: A comparison of once-daily and divided doses of modafinil in children with attention-deficit/hyperactivity disorder: a randomized, double-blind, and placebo-controlled study. J Clin Psychiatry 2006; 67:727–735CrossrefGoogle Scholar

108 Hechtman L, Abikoff H, Klein RG, et al.: Children with ADHD treated with long-term methylphenidate and multimodal psychosocial treatment: impact on parental practices. J Am Acad Child Adolesc Psychiatry 2004; 43:830–838CrossrefGoogle Scholar

109 Abikoff H, Hechtman L, Klein RG, et al.: Social functioning in children with ADHD treated with long-term methylphenidate and multimodal psychosocial treatment. J Am Acad Child Adolesc Psychiatry 2004; 43:820–829CrossrefGoogle Scholar

110 Safren SA, Otto MW, Sprich S, et al.: Cognitive-behavioral therapy for ADHD in medication-treated adults with continued symptoms. Behav Res Ther 2005; 43:831–842CrossrefGoogle Scholar

111 Pettinati HM, Oslin DW, Kampman KM, et al.: A double-blind, placebo-controlled trial combining sertraline and naltrexone for treating co-occurring depression and alcohol dependence. Am J Psychiatry 2010; 167:668–675CrossrefGoogle Scholar

112 Johnson BA, Ait-Daoud N, Akhtar FZ, et al.: Oral topiramate reduces the consequences of drinking and improves the quality of life of alcohol-dependent individuals: a randomized controlled trial. Arch Gen Psychiatry 2004; 61:905–912CrossrefGoogle Scholar

113 Johnson BA, Ait-Daoud N, Bowden CL, et al.: Oral topiramate for treatment of alcohol dependence: a randomised controlled trial. Lancet 2003; 361:1677–1685CrossrefGoogle Scholar

114 Johnson BA, Rosenthal N, Capece JA, et al.: Improvement of physical health and quality of life of alcohol-dependent individuals with topiramate treatment: US multisite randomized controlled trial. Arch Intern Med 2008; 168:1188–1199CrossrefGoogle Scholar

115 Jonas DE, Amick HR, Feltner C, et al.: Pharmacotherapy for adults with alcohol use disorders in outpatient settings: a systematic review and meta-analysis. JAMA 2014; 311:1889–1900CrossrefGoogle Scholar

116 Alderman CP, McCarthy LC, Condon JT, et al.: Topiramate in combat-related posttraumatic stress disorder. Ann Pharmacother 2009; 43:635–641CrossrefGoogle Scholar

117 Batki S, Pennington DL, Lasher B, et al.: Topiramate treatment of alcohol use disorder in veterans with posttraumatic stress disorder: a randomized controlled pilot trial. Alcohol Clin Exp Res 2014; 38:2169–2177CrossrefGoogle Scholar

118 Niciu MJ, Luckenbaugh DA, Ionescu DF, et al.: Ketamine’s antidepressant efficacy is extended for at least four weeks in subjects with a family history of an alcohol use disorder. Int J Neuropsychopharmacol 2014; 18:pyu039Google Scholar

119 Han Y, Chen J, Zou D, et al.: Efficacy of ketamine in the rapid treatment of major depressive disorder: a meta-analysis of randomized, double-blind, placebo-controlled studies. Neuropsychiatr Dis Treat 2016; 12:2859–2867CrossrefGoogle Scholar

120 Bartoli F, Riboldi I, Crocamo C, et al.: Ketamine as a rapid-acting agent for suicidal ideation: a meta-analysis. Neurosci Biobehav Rev 2017; 77:232–236CrossrefGoogle Scholar

121 Moghaddam B, Adams B, Verma A, et al.: Activation of glutamatergic neurotransmission by ketamine: a novel step in the pathway from NMDA receptor blockade to dopaminergic and cognitive disruptions associated with the prefrontal cortex. J Neurosci 1997; 17:2921–2927CrossrefGoogle Scholar

122 Maeng S, Zarate CA Jr, Du J, et al.: Cellular mechanisms underlying the antidepressant effects of ketamine: role of alpha-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptors. Biol Psychiatry 2008; 63:349–352CrossrefGoogle Scholar

123 Li N, Lee B, Liu RJ, et al.: mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 2010; 329:959–964CrossrefGoogle Scholar

124 Dakwar E, Levin F, Foltin RW, et al.: The effects of subanesthetic ketamine infusions on motivation to quit and cue-induced craving in cocaine-dependent research volunteers. Biol Psychiatry 2014; 76:40–46CrossrefGoogle Scholar

125 Dakwar E, Hart CL, Levin FR, et al.: Cocaine self- administration disrupted by the N-Methyl-D-aspartate receptor antagonist ketamine: a randomized, cross-over trial. Mol Psychiatry 2016; 22:76–81CrossrefGoogle Scholar

126 Krupitsky EM, Grinenko AY: Ketamine psychedelic therapy (KPT): a review of the results of ten years of research. J Psychoactive Drugs 1997; 29:165–183CrossrefGoogle Scholar

127 Krupitsky EM, Grinenko AY, Berkaliev TN, et al.: The combination of psychedelic and aversive approaches in alcoholism treatment: the affective contra-attribution method. Alcohol Treat Q 1992; 9:99–105CrossrefGoogle Scholar

128 Kluger BM, Triggs WJ: Use of transcranial magnetic stimulation to influence behavior. Curr Neurol Neurosci Rep 2007; 7:491–497CrossrefGoogle Scholar

129 Rossini PM, Rossi S: Transcranial magnetic stimulation: diagnostic, therapeutic, and research potential. Neurology 2007; 68:484–488CrossrefGoogle Scholar

130 Kedzior KK, Azorina V, Reitz SK: More female patients and fewer stimuli per session are associated with the short-term antidepressant properties of repetitive transcranial magnetic stimulation (rTMS): a meta-analysis of 54 sham-controlled studies published between 1997–2013. Neuropsychiatr Dis Treat 2014; 10:727–756CrossrefGoogle Scholar

131 Berlim MT, van den Eynde F, Tovar-Perdomo S, et al.: Response, remission and drop-out rates following high-frequency repetitive transcranial magnetic stimulation (rTMS) for treating major depression: a systematic review and meta-analysis of randomized, double-blind and sham-controlled trials. Psychol Med 2014; 44:225–239CrossrefGoogle Scholar

132 Brunelin J, Jalenques I, Trojak B, et al.: The efficacy and safety of low frequency repetitive transcranial magnetic stimulation for treatment-resistant depression: the results from a large multicenter French RCT. Brain Stimul 2014; 7:855–863CrossrefGoogle Scholar

133 Fitzgerald PB, Hoy K, Gunewardene R, et al.: A randomized trial of unilateral and bilateral prefrontal cortex transcranial magnetic stimulation in treatment-resistant major depression. Psychol Med 2011; 41:1187–1196CrossrefGoogle Scholar

134 Jansen JM, Daams JG, Koeter MW, et al.: Effects of non-invasive neurostimulation on craving: a meta-analysis. Neurosci Biobehav Rev 2013; 37:2472–2480CrossrefGoogle Scholar

135 Li X, Hartwell KJ, Owens M, et al.: Repetitive transcranial magnetic stimulation of the dorsolateral prefrontal cortex reduces nicotine cue craving. Biol Psychiatry 2013; 73:714–720CrossrefGoogle Scholar

136 Eichhammer P, Johann M, Kharraz A, et al.: High-frequency repetitive transcranial magnetic stimulation decreases cigarette smoking. J Clin Psychiatry 2003; 64:951–953CrossrefGoogle Scholar

137 Amiaz R, Levy D, Vainiger D, et al.: Repeated high-frequency transcranial magnetic stimulation over the dorsolateral prefrontal cortex reduces cigarette craving and consumption. Addiction 2009; 104:653–660CrossrefGoogle Scholar

138 Li X, Malcolm RJ, Huebner K, et al.: Low frequency repetitive transcranial magnetic stimulation of the left dorsolateral prefrontal cortex transiently increases cue-induced craving for methamphetamine: a preliminary study. Drug Alcohol Depend 2013; 133:641–646CrossrefGoogle Scholar

139 Camprodon JA, Martínez-Raga J, Alonso-Alonso M, et al.: One session of high frequency repetitive transcranial magnetic stimulation (rTMS) to the right prefrontal cortex transiently reduces cocaine craving. Drug Alcohol Depend 2007; 86:91–94CrossrefGoogle Scholar

140 Politi E, Fauci E, Santoro A, et al.: Daily sessions of transcranial magnetic stimulation to the left prefrontal cortex gradually reduce cocaine craving. Am J Addict 2008; 17:345–346CrossrefGoogle Scholar

141 Herremans SC, Baeken C, Vanderbruggen N, et al.: No influence of one right-sided prefrontal HF-rTMS session on alcohol craving in recently detoxified alcohol-dependent patients: results of a naturalistic study. Drug Alcohol Depend 2012; 120:209–213CrossrefGoogle Scholar

142 Herremans SC, Vanderhasselt MA, De Raedt R, et al.: Reduced intra-individual reaction time variability during a Go-NoGo task in detoxified alcohol-dependent patients after one right-sided dorsolateral prefrontal HF-rTMS session. Alcohol Alcohol 2013; 48:552–557CrossrefGoogle Scholar

143 Mishra BR, Nizamie SH, Das B, et al.: Efficacy of repetitive transcranial magnetic stimulation in alcohol dependence: a sham-controlled study. Addiction 2010; 105:49–55CrossrefGoogle Scholar

144 Hoppner J, Broese T, Wendler L, et al.: Repetitive transcranial magnetic stimulation (rTMS) for treatment of alcohol dependence. World J Biol Psychiatry 2011; 12(supp. 1):57–62CrossrefGoogle Scholar

145 De Ridder D, Vanneste S, Kovacs S, et al.: Transient alcohol craving suppression by rTMS of dorsal anterior cingulate: an fMRI and LORETA EEG study. Neurosci Lett 2011; 496:5–10CrossrefGoogle Scholar

146 Rapinesi C, Kotzalidis GD, Serata D, et al.: Efficacy of add-on deep transcranial magnetic stimulation in comorbid alcohol dependence and dysthymic disorder: three case reports. Prim Care Companion CNS Disord 2013; 15:PCC.12m01438Google Scholar

147 Rapinesi C, Curto M, Kotzalidis GD, et al.: Antidepressant effectiveness of deep transcranial magnetic stimulation (dTMS) in patients with major depressive disorder (MDD) with or without alcohol use disorders (AUDs): a 6-month, open label, follow-up study. J Affect Disord 2015; 174:57–63CrossrefGoogle Scholar

148 Ye T, Peng J, Nie B, et al.: Altered functional connectivity of the dorsolateral prefrontal cortex in first-episode patients with major depressive disorder. Eur J Radiol 2012; 81:4035–4040CrossrefGoogle Scholar

149 Chang CC, Yu SC, McQuoid DR, et al.: Reduction of dorsolateral prefrontal cortex gray matter in late-life depression. Psychiatry Res 2011; 193:1–6CrossrefGoogle Scholar

150 Lang N, Hasan A, Sueske E, et al.: Cortical hypoexcitability in chronic smokers? A transcranial magnetic stimulation study. Neuropsychopharmacology 2008; 33:2517–2523CrossrefGoogle Scholar

151 Moreno-López L, Stamatakis EA, Fernández-Serrano MJ, et al.: Neural correlates of the severity of cocaine, heroin, alcohol, MDMA and cannabis use in polysubstance abusers: a resting-PET brain metabolism study. PLoS One 2012; 7:e39830CrossrefGoogle Scholar

152 Mayberg HS, Lozano AM, Voon V, et al.: Deep brain stimulation for treatment-resistant depression. Neuron 2005; 45:651–660CrossrefGoogle Scholar

153 Schlaepfer TE, Cohen MX, Frick C, et al.: Deep brain stimulation to reward circuitry alleviates anhedonia in refractory major depression. Neuropsychopharmacology 2008; 33:368–377CrossrefGoogle Scholar

154 Nuttin BJ, Gabriëls LA, Cosyns PR, et al.: Long-term electrical capsular stimulation in patients with obsessive-compulsive disorder. Neurosurgery 2008; 62(suppl 3):966–977CrossrefGoogle Scholar

155 Luigjes J, van den Brink W, Feenstra M, et al.: Deep brain stimulation in addiction: a review of potential brain targets. Mol Psychiatry 2012; 17:572–583CrossrefGoogle Scholar

156 Gonçalves-Ferreira A, do Couto FS, Rainha Campos A, et al.: Deep brain stimulation for refractory cocaine dependence. Biol Psychiatry 2016; 79:e87–e89CrossrefGoogle Scholar

157 Kuhn J, Gründler TOJ, Bauer R, et al.: Successful deep brain stimulation of the nucleus accumbens in severe alcohol dependence is associated with changed performance monitoring. Addict Biol 2011; 16:620–623CrossrefGoogle Scholar

158 Kuhn J, Möller M, Treppmann JF, et al.: Deep brain stimulation of the nucleus accumbens and its usefulness in severe opioid addiction. Mol Psychiatry 2014; 19:145–146CrossrefGoogle Scholar

159 Müller UJ, Sturm V, Voges J, et al.: Nucleus accumbens deep brain stimulation for alcohol addiction: safety and clinical long-term results of a pilot trial. Pharmacopsychiatry 2016; 49:170–173CrossrefGoogle Scholar

160 Valencia-Alfonso CE, Luigjes J, Smolders R, et al.: Effective deep brain stimulation in heroin addiction: a case report with complementary intracranial electroencephalogram. Biol Psychiatry 2012; 71:e35–e37CrossrefGoogle Scholar

161 Zhou H, Xu J, Jiang J: Deep brain stimulation of nucleus accumbens on heroin-seeking behaviors: a case report. Biol Psychiatry 2011; 69:e41–e42CrossrefGoogle Scholar