Brain activation and subjective anxiety during an anticipatory anxiety task is related to clinical outcome during prazosin treatment for alcohol use disorder.

BACKGROUND: Higher levels of anxiety, negative affect, and impaired emotion regulation are associated with alcohol use disorder (AUD) and contribute to relapse and worse treatment outcomes. Prazosin, while typically used to treat post-traumatic stress disorder (PTSD) and other anxiety disorders, has shown promise for treating AUD. In order to better understand these underlying neural processes in individuals with AUD, our aims in this study were to measure brain activation during an anticipatory anxiety task before treatment to determine whether observed patterns supported previous work. We then aimed to measure the effects of prazosin on patients with AUD and explore whether greater baseline anticipatory anxiety (as measured by subjective and neural measures) predicts better treatment outcomes. METHODS: Thirty-four individuals seeking treatment for AUD participated in a six-week placebo-controlled study of prazosin and underwent an anticipatory anxiety task during fMRI scans at baseline and three weeks. Alcohol use over six weeks was measured. RESULTS: Greater levels of subjective anxiety and deactivation in posterior cingulate cortex (PCC) and ventromedial prefrontal cortex (vmPFC) were observed during high-threat stimuli compared to low-threat stimuli. Compared to placebo, prazosin reduced subjective anxiety to high-threat stimuli but there were no observed significant effects of prazosin on brain activation during the task. However, AUD patients with greater vmPFC deactivation during high threat relative to low threat and patients with low baseline anticipatory anxiety during the task had worse clinical outcomes on prazosin. CONCLUSIONS: Deactivation in PCC and vmPFC to high-threat stimuli replicated previous work and shows promise for further study as a marker for AUD. Although prazosin did not affect brain activation in the regions of interest during the anticipatory anxiety task, subjective levels of anxiety and brain activation in vmPFC predicted treatment outcomes in individuals with AUD undergoing treatment with prazosin, highlighting individuals more likely to benefit from prazosin than others.

Stroop-related cerebellar and temporal activation is correlated with negative affect and alcohol use disorder severity.

Impairment in cognitive control in alcohol use disorder (AUD) contributes to difficulty controlling alcohol use and, in many populations, difficulties with emotion regulation. However, the most reliable and robust marker of clinically-relevant deficits in cognitive control in AUD is unclear. Our aims were to measure relationships between BOLD signal during a Stroop task and AUD severity and change in BOLD signal and change in drinking over three weeks. We also aimed to explore the relationships between BOLD signal and subjective negative affect. Thirty-three individuals with AUD underwent a multisensory Stroop task during functional magnetic resonance imaging (fMRI), as well as a battery of neuropsychological tests and self-report assessments of negative affect and AUD severity. Greater activation in temporal gyrus and cerebellum during incongruent trials compared to congruent trials was observed, and percent signal change (incongruent minus congruent) in both clusters was positively correlated with AUD severity and self-reported negative affect. Neuropsychological task performance and self-reported impulsivity were not highly correlated with AUD severity. Hierarchical regression analyses indicated that percent signal change (incongruent minus congruent) in cerebellum was independently associated with negative affect after controlling for recent and chronic drinking. In a subset of individuals (n = 23) reduction in cerebellar percent signal change (incongruent minus congruent) was correlated with increases in percent days abstinent over 3 weeks. BOLD activation during this Stroop task may therefore be an important objective marker of AUD severity and negative affect. The potential importance of the cerebellum in emotion regulation and AUD severity is highlighted.

Effects of attentional bias modification therapy on the cue reactivity and cognitive control networks in participants with cocaine use disorders.

BACKGROUND: While attentional bias modification therapy (ABMT) alters drug-related behaviors in some substance users, results have been mixed in individuals with cocaine use disorders (CUD). OBJECTIVES: The current study examined whether ABMT affected brain functioning during independent measures of cue reactivity (i.e., cocaine versus food cues) and cognitive control (i.e., incongruent versus congruent trials), and whether brain activity was associated with baseline or post-intervention cocaine use. METHODS: 37 participants (62% male) were randomly assigned to ABMT or control therapy. Clinical and neuroimaging assessments occurred at baseline and immediately post-intervention, with additional clinical testing at 2 weeks and 3 months following intervention. Cocaine use was assessed through self-report. RESULTS: Slower reaction times and increased functional activation (prefrontal cortex, posterior parietal cortex) were observed for incongruent versus congruent stimuli and increased functional activation for cocaine relative to food videos (ventral striatum, dorsolateral prefrontal cortex and orbitofrontal cortex). The default-mode network (DMN) was not deactivated during exposure to cocaine videos. The degree of activation during cocaine relative to food cues was associated with baseline cocaine use (insula only) and reduction in use following treatment (insula and anterior DMN) above and beyond clinical variables. Cognitive control network activity was not associated with cocaine use at baseline or following treatment. ABMT therapy did not differentially affect cocaine use or functional activation during either task. CONCLUSION: Current results suggest a relationship between cue reactivity network activation and cocaine use, but question the efficacy of ABMT in changing brain function during cue reactivity or cognitive control tasks.

Alterations in resting-state functional connectivity in substance use disorders and treatment implications.

Substance use disorders (SUD) are diseases of the brain, characterized by aberrant functioning in the neural circuitry of the brain. Resting state functional connectivity (rsFC) can illuminate these functional changes by measuring the temporal coherence of low-frequency fluctuations of the blood oxygenation level-dependent magnetic resonance imaging signal in contiguous or non-contiguous regions of the brain. Because this data is easy to obtain and analyze, and therefore fairly inexpensive, it holds promise for defining biological treatment targets in SUD, which could help maximize the efficacy of existing clinical interventions and develop new ones. In an effort to identify the most likely "treatment targets" obtainable with rsFC we summarize existing research in SUD focused on 1) the relationships between rsFC and functionality within important psychological domains which are believed to underlie relapse vulnerability 2) changes in rsFC from satiety to deprived or abstinent states 3) baseline rsFC correlates of treatment outcome and 4) changes in rsFC induced by treatment interventions which improve clinical outcomes and reduce relapse risk. Converging evidence indicates that likely "treatment target" candidates, emerging consistently in all four sections, are reduced connectivity within executive control network (ECN) and between ECN and salience network (SN). Other potential treatment targets also show promise, but the literature is sparse and more research is needed. Future research directions include data-driven prediction analyses and rsFC analyses with longitudinal datasets that incorporate time since last use into analysis to account for drug withdrawal. Once the most reliable biological markers are identified, they can be used for treatment matching, during preliminary testing of new pharmacological compounds to establish clinical potential ("target engagement") prior to carrying out costly clinical trials, and for generating hypotheses for medication repurposing.

A Randomized, Placebo-controlled, Clinical Trial of Prazosin for the Treatment of Alcohol Use Disorder.

OBJECTIVES: The noradrenergic system plays an important role in the pathophysiology of alcohol use disorder (AUD). Medications in this class may reduce drinking. Our aims were to investigate this in a unique sample of individuals with AUD. METHODS: Thirty-six individuals with AUD were randomized to treatment with prazosin, an alpha-1 noradrenergic antagonist, or placebo, for 6 weeks (target daily dose 16 mg). Hierarchical linear modeling was used to examine the effect of treatment group on rate of change in primary (drinks per week [DPW]) and several secondary outcome measures. RESULTS: Prazosin did not significantly affect rate of reduction in alcohol use in the intent to treat sample (n = 36) compared with placebo, but did significantly increase the rate of reduction in DPW in an optimal treatment exposure subgroup (beta = -0.3; P = 0.01; event rate ratio 0.74; confidence interval 0.59, 0.93; n = 27). Poor adherence and tolerability may have contributed to null effects. Diastolic blood pressure (DBP) moderated the effects of treatment group on rate of reduction in drinks per drinking day, supporting previous work in doxazosin, another alpha-1 antagonist. Specifically, prazosin was associated with greater rates of reduction in drinking compared with placebo in individuals with high but not low DBP. CONCLUSIONS: Our findings do not support the clinical utility of prazosin for all treatment-seeking AUD, but post hoc analyses indicate that it might have some efficacy in individuals who can tolerate it. Further work exploring the clinical utility of DBP as a treatment matching variable, and defining optimal values using sensitivity and specificity analyses, is warranted.

Default mode network deactivation to smoking cue relative to food cue predicts treatment outcome in nicotine use disorder.

Identifying predictors of treatment outcome for nicotine use disorders (NUDs) may help improve efficacy of established treatments, like varenicline. Brain reactivity to drug stimuli predicts relapse risk in nicotine and other substance use disorders in some studies. Activity in the default mode network (DMN) is affected by drug cues and other palatable cues, but its clinical significance is unclear. In this study, 143 individuals with NUD (male n = 91, ages 18-55 years) received a functional magnetic resonance imaging scan during a visual cue task during which they were presented with a series of smoking-related or food-related video clips prior to randomization to treatment with varenicline (n = 80) or placebo. Group independent components analysis was utilized to isolate the DMN, and temporal sorting was used to calculate the difference between the DMN blood-oxygen-level dependent signal during smoke cues and that during food cues for each individual. Food cues were associated with greater deactivation compared with smoke cues in the DMN. In correcting for baseline smoking and other clinical variables, which have been shown to be related to treatment outcome in previous work, a less positive Smoke - Food difference score predicted greater smoking at 6 and 12 weeks when both treatment groups were combined (P = 0.005, ß = -0.766). An exploratory analysis of executive control and salience networks demonstrated that a more positive Smoke - Food difference score for executive control network predicted a more robust response to varenicline relative to placebo. These findings provide further support to theories that brain reactivity to palatable cues, and in particular in DMN, may have a direct clinical relevance in NUD.

Changes in depression mediate the effects of AA attendance on alcohol use outcomes.

BACKGROUND: Depression may contribute to increased drinking in individuals with alcohol use disorder. Although Alcoholics Anonymous (AA) attendance predicts drinking reductions, there is conflicting information regarding the intermediary role played by reductions in depression. OBJECTIVES: We explored whether AA attendance reduces depressive symptoms, the degree to which improvement in depression results in reductions in drinking, and in which subgroups these effects occur. METHODS: 253 early AA affiliates (63% male) were recruited and assessed at baseline 3, 6, 9, 12, 18, and 24 months. Depression was measured using the Beck Depression Inventory (BDI) and was administered at baseline 3, 6, 12, 18, and 24 months. AA attendance and alcohol use outcomes were obtained with the Form 90. Mediation analyses were performed at early (3, 6, and 9 months) and late (12, 18, and 24 months) follow-up to investigate the degree to which reductions in depression mediated the effect of AA attendance on drinking, controlling for concurrent drinking. In addition, a series of moderated mediation analyses were performed using baseline depression severity as a moderator. RESULTS: At early follow-up, reductions in depression (6 months) mediated the effects of AA attendance (3 months) on later drinking (drinks per drinking day) (9 months) (b = -0.02, boot CI [-0.055, -0.0004]), controlling for drinking at 6 months. Baseline depression severity did not moderate the degree to which BDI mediated the effects of AA attendance on alcohol use (ps > .05). CONCLUSION: These findings provide further evidence that depression reduction is a mechanism by which AA attendance leads to reductions in alcohol use. Improving depression may help reduce alcohol use in individuals with AUD, and AA attendance may be an effective way to achieve that goal.

Moderators of smoking cessation outcomes in a randomized-controlled trial of varenicline versus placebo.

RATIONALE AND OBJECTIVE: Varenicline has gained a reputation as the optimal intervention for treatment resistant smokers, yet more than half of those who try it do not succeed. To better understand individual differences in the effectiveness of varenicline, this study evaluates the effectiveness of varenicline for smoking cessation in a double-blind, placebo-controlled, randomized clinical trial and examines the influence of psychological factors on treatment outcome. METHOD: Two hundred five cigarette smokers interested in quitting were randomly assigned to 12 weeks of varenicline or placebo. Outcomes examined were CO-confirmed continuous abstinence for the past month, average number of cigarettes smoked per day, and 7-day point prevalence. RESULTS: Varenicline-treated participants were more likely than placebo to achieve continuous abstinence at the end of treatment (OR = 3.29; RR = 2.62), and 7-day point prevalence rates showed an effect of medication at each time point. Participants in both groups significantly reduced their smoking during the course of treatment and follow-up, and the medication by visit interaction was significant in the expected direction. Impulsivity and personality style emerged as moderators of the relationship between medication condition and treatment outcome. CONCLUSIONS: In addition to replicating efficacy results for varenicline versus placebo, the present study shows that the efficacy of pharmacotherapy is influenced by psychological factors. In an era where pharmacotherapy is often perceived as the "silver bullet," we are reminded that smoking cessation is a dynamic process and intervention must be adaptable to address individual differences.

Functional network connectivity predicts treatment outcome during treatment of nicotine use disorder.

Altered resting state functional connectivity (rsFC) and functional network connectivity (FNC), which is a measure of coherence between brain networks, may be associated with nicotine use disorder (NUD). We hypothesized that higher connectivity between insula and 1) dorsal anterior cingulate cortex (dACC) and 2) dorsolateral prefrontal cortex (dlPFC) would predict better treatment outcomes. We also performed an exploratory analysis of the associations between FNC values between additional key frontal and striatal regions and treatment outcomes. One hundred and forty four individuals with NUD underwent a resting state session during functional MRI prior to randomization to treatment with varenicline (n=82) or placebo. Group independent component analysis (ICA) was utilized to extract individual subject components and time series from intrinsic connectivity networks in aforementioned regions, and FNC between all possible pairs were calculated. Higher FNC between insula and dACC (rho=0.21) was significantly correlated with lower levels of baseline smoking quantity but did not predict treatment outcome upon controlling for baseline smoking. Higher FNC between putamen and dACC, caudate and dACC, and caudate and dlPFC significantly predicted worse treatment outcome in participants reporting high subjective withdrawal before the scan. FNC between key regions hold promise as biomarkers to predict outcome in NUD.

The efficacy of attention bias modification therapy in cocaine use disorders.

BACKGROUND: Attentional bias (i.e., differences in reaction time between drug and neutral cues) has been associated with a variety of drug-use behaviors (e.g., craving, abstinence). Reduction of bias may ultimately reduce use. OBJECTIVE: The current study examined whether attentional bias modification therapy (ABMT) reduced the frequency of drug use behaviors in individuals with cocaine use disorder (CUD). METHOD: Participants (n = 37) were randomly assigned to ABMT or control therapy, which systematically varied how frequently probes replaced neutral (ABMT = 100%; control therapy = 50%) relative to drug stimuli. Each intervention included 5 training sessions comprising a total of 2640 trials over 4 weeks. Clinical assessments occurred at baseline, post-intervention, 2 weeks and 3 months posttreatment. RESULTS: There were no baseline differences between groups on drug-use behaviors or other clinical measures. Contrary to predictions, both groups exhibited slower rather than faster reaction times for cocaine stimuli (p = 0.005) at baseline, with no relationship between bias and baseline measures of drug-use behavior. CONCLUSIONS: ABMT was not more effective than our control therapy at reducing attentional bias, reducing craving or changing other drug use behaviors. Current results suggest additional replication studies are needed to assess ABMT's efficacy in reducing drug-use behaviors in CUD.

Coadministration of disulfiram and lorazepam in the treatment of alcohol dependence and co-occurring anxiety disorder: an open-label pilot study.

BACKGROUND: Anxiety is common among persons with alcohol use disorder during early abstinence from alcohol. Although benzodiazepines are effective for short-term treatment of anxiety, they are rarely used beyond acute detoxification due to concerns about misuse or interactions with alcohol. OBJECTIVES: We conducted an open-label trial to explore the effects of coadministering lorazepam and disulfiram to alcohol-dependent patients with anxiety disorder symptoms. The rationale for this model is to minimize the risks of the benzodiazepine, while also potentially enhancing adherence to disulfiram. METHODS: Forty-one participants with DSM-IV alcohol dependence who also met syndromal criteria for anxiety disorder with or without co-occurring major depressive syndrome initiated treatment with lorazepam (starting dose 0.5 mg three times daily) and disulfiram (starting dose 500 mg three times weekly). Participants received 16 weeks of monitored pharmacotherapy with manualized medical management. RESULTS: Adherence to treatment decreased steadily with time (85.4% at 4 weeks, 36.6% at 16 weeks). Participants showed significant increases in percent abstinent days during treatment and at 24 weeks follow-up. Large reductions in anxiety, depression, and craving were observed during treatment, and improvement remained significant at 24 weeks. Duration of adherence with disulfiram strongly predicted abstinence at 16 weeks. There was no evidence of misuse of lorazepam or dose escalation during the study. CONCLUSION: Lorazepam can be safely used for short-term treatment of anxiety in combination with disulfiram treatment of alcohol use disorder. However, it is not clear that making lorazepam dispensing contingent on adherence to disulfiram enhances retention in disulfiram treatment.

Neural Circuitry of Impaired Emotion Regulation in Substance Use Disorders.

Impaired emotion regulation contributes to the development and severity of substance use disorders (substance disorders). This review summarizes the literature on alterations in emotion regulation neural circuitry in substance disorders, particularly in relation to disorders of negative affect (without substance disorder), and it presents promising areas of future research. Emotion regulation paradigms during functional magnetic resonance imaging are conceptualized into four dimensions: affect intensity and reactivity, affective modulation, cognitive modulation, and behavioral control. The neural circuitry associated with impaired emotion regulation is compared in individuals with and without substance disorders, with a focus on amygdala, insula, and prefrontal cortex activation and their functional and structural connectivity. Hypoactivation of the rostral anterior cingulate cortex/ventromedial prefrontal cortex (rACC/vmPFC) is the most consistent finding across studies, dimensions, and clinical populations (individuals with and without substance disorders). The same pattern is evident for regions in the cognitive control network (anterior cingulate and dorsal and ventrolateral prefrontal cortices) during cognitive modulation and behavioral control. These congruent findings are possibly related to attenuated functional and/or structural connectivity between the amygdala and insula and between the rACC/vmPFC and cognitive control network. Although increased amygdala and insula activation is associated with impaired emotion regulation in individuals without substance disorders, it is not consistently observed in substance disorders. Emotion regulation disturbances in substance disorders may therefore stem from impairments in prefrontal functioning, rather than excessive reactivity to emotional stimuli. Treatments for emotion regulation in individuals without substance disorders that normalize prefrontal functioning may offer greater efficacy for substance disorders than treatments that dampen reactivity.

Effects of long-term AA attendance and spirituality on the course of depressive symptoms in individuals with alcohol use disorder.

Alcohol use disorder (AUD) is associated with depression. Although attendance at Alcoholics Anonymous (AA) meetings predicts reductions in drinking, results have been mixed about the salutary effects of AA on reducing depressive symptoms. In this single-group study, early AA affiliates (n = 253) were recruited, consented, and assessed at baseline, 3, 6, 9, 12, 18, and 24 months. Lagged growth models were used to investigate the predictive effect of AA attendance on depression, controlling for concurrent drinking and treatment attendance. Depression was measured using the Beck Depression Inventory (BDI) and was administered at baseline 3, 6, 12, 18, and 24 months. Additional predictors of depression tested included spiritual gains (Religious Background and Behavior questionnaire [RBB]) and completion of 12-step work (Alcoholics Anonymous Inventory [AAI]). Eighty-five percent of the original sample provided follow-up data at 24 months. Overall, depression decreased over the 24 month follow-up period. AA attendance predicted later reductions in depression (slope = -3.40, p = .01) even after controlling for concurrent drinking and formal treatment attendance. Finally, increased spiritual gains (RBB) also predicted later reductions in depression (slope = -0.10, p = .02) after controlling for concurrent drinking, treatment, and AA attendance. In summary, reductions in alcohol consumption partially explained decreases in depression in this sample of early AA affiliates, and other factors such as AA attendance and increased spiritual practices also accounted for reductions in depression beyond that explained by drinking. (PsycINFO Database Record

The Subjective Experience of Pain: An FMRI Study of Percept-Related Models and Functional Connectivity.

OBJECTIVE: Previous work suggests that the perception of pain is subjective and dependent on individual differences in physiological, emotional, and cognitive states. Functional magnetic resonance imaging (FMRI) studies have used both stimulus-related (nociceptive properties) and percept-related (subjective experience of pain) models to identify the brain networks associated with pain. Our objective was to identify the network involved in processing subjective pain during cold stimuli. METHODS: The current FMRI study directly contrasted a stimulus-related model with a percept-related model during blocks of cold pain stimuli in healthy adults. Specifically, neuronal activation was modelled as a function of changes in stimulus intensity vs as a function of increasing/decreasing levels of subjective pain corresponding to changes in pain ratings. In addition, functional connectivity analyses were conducted to examine intrinsic correlations between three proposed subnetworks (sensory/discriminative, affective/motivational, and cognitive/evaluative) involved in pain processing. RESULTS: The percept-related model captured more extensive activation than the stimulus-related model and demonstrated an association between higher subjective pain and activation in expected cortical (dorsolateral prefrontal cortex, ventrolateral prefrontal cortex, insula, dorsal anterior cingulate cortex [dACC] extending into pre-supplementary motor area) and subcortical (thalamus, striatum) areas. Moreover, connectivity results supported the posited roles of dACC and insula as key relay sites during neural processing of subjective pain. In particular, anterior insula appeared to link sensory/discriminative regions with regions in the other subnetworks, and dACC appeared to serve as a hub for affective/motivational, cognitive/evaluative, and motor subnetworks. CONCLUSIONS: Using a percept-related model, brain regions involved in the processing of subjective pain during the application of cold stimuli were identified. Connectivity analyses identified linkages between key subnetworks involved in processing subjective pain.

Psilocybin-assisted treatment for alcohol dependence: a proof-of-concept study.

UNLABELLED: Several lines of evidence suggest that classic (5HT2A agonist) hallucinogens have clinically relevant effects in alcohol and drug addiction. Although recent studies have investigated the effects of psilocybin in various populations, there have been no studies on the efficacy of psilocybin for alcohol dependence. We conducted a single-group proof-of-concept study to quantify acute effects of psilocybin in alcohol-dependent participants and to provide preliminary outcome and safety data. Ten volunteers with DSM-IV alcohol dependence received orally administered psilocybin in one or two supervised sessions in addition to Motivational Enhancement Therapy and therapy sessions devoted to preparation for and debriefing from the psilocybin sessions. Participants' responses to psilocybin were qualitatively similar to those described in other populations. Abstinence did not increase significantly in the first 4 weeks of treatment (when participants had not yet received psilocybin), but increased significantly following psilocybin administration (p < 0.05). Gains were largely maintained at follow-up to 36 weeks. The intensity of effects in the first psilocybin session (at week 4) strongly predicted change in drinking during weeks 5-8 (r = 0.76 to r = 0.89) and also predicted decreases in craving and increases in abstinence self-efficacy during week 5. There were no significant treatment-related adverse events. These preliminary findings provide a strong rationale for controlled trials with larger samples to investigate efficacy and mechanisms. TRIAL REGISTRATION: NCT02061293.

Cognitive control network function in alcohol use disorder before and during treatment with lorazepam.

Individuals with alcohol use disorders (AUDs) have deficits in cognitive control, but how they change with treatment is unclear. Seven patients with AUD and anxiety from an open-label trial of disulfiram plus lorazepam performed a multisensory Stroop task during fMRI (both pre and post initiation of treatment), and were compared to nine healthy controls (HCs) (n = 16; Albuquerque, NM; years 2009-2012). Evoked BOLD signal and resting state functional connectivity were compared (HC vs. AUD; Scan 1 vs. Scan 2). AUD demonstrated hyperactivity and altered connectivity in the cognitive control network compared to HC, but treatment did not normalize function.

Cognitive control in alcohol use disorder: deficits and clinical relevance.

Cognitive control refers to the internal representation, maintenance, and updating of context information in the service of exerting control over thoughts and behavior. Deficits in cognitive control likely contribute to difficulty in maintaining abstinence in individuals with alcohol use disorders (AUD). In this article, we define three cognitive control processes in detail (response inhibition, distractor interference control, and working memory), review the tasks measuring performance in these areas, and summarize the brain networks involved in carrying out these processes. Next, we review evidence of deficits in these processes in AUD, including both metrics of task performance and functional neuroimaging. Finally, we explore the clinical relevance of these deficits by identifying predictors of clinical outcome and markers that appear to change (improve) with treatment. We observe that individuals with AUD experience deficits in some, but not all, metrics of cognitive control. Deficits in cognitive control may predict clinical outcome in AUD, but more work is necessary to replicate findings. It is likely that performance on tasks requiring cognitive control improves with abstinence, and with some psychosocial and medication treatments. Future work should clarify which aspects of cognitive control are most important to target during treatment of AUD.

Concordance between self-report and urine drug screen data in adolescent opioid dependent clinical trial participants.

Objective measures of drug use are very important in treatment outcome studies of persons with substance use disorders, but obtaining and interpreting them can be challenging and not always practical. Thus, it is important to determine if, and when, drug-use self-reports are valid. To this end we explored the relationships between urine drug screen results and self-reported substance use among adolescents and young adults with opioid dependence participating in a clinical trial of buprenorphine-naloxone. In this study, 152 individuals seeking treatment for opioid dependence were randomized to a 2-week detoxification with buprenorphine-naloxone (DETOX) or 12weeks of buprenorphine-naloxone (BUP), each with weekly individual and group drug counseling. Urine drug screens and self-reported frequency of drug use were obtained weekly, and patients were paid $5 for completing weekly assessments. At weeks 4, 8, and 12, more extensive assessments were done, and participants were reimbursed $75. Self-report data were dichotomized (positive vs. negative), and for each major drug class we computed the kappa statistic and the sensitivity, specificity, positive predictive value, and negative predictive value of self-report using urine drug screens as the "gold standard". Generalized linear mixed models were used to explore the effect of treatment group assignment, compensation amounts, and participant characteristics on self-report. In general, findings supported the validity of self-reported drug use. However, those in the BUP group were more likely to under-report cocaine and opioid use. Therefore, if used alone, self-report would have magnified the treatment effect of the BUP condition.