Background There are elevated rates of comorbid psychiatric disorders among individuals with substance dependence; however, little research examines these rates within inpatient settings, particularly in relation to gender and type of substance. The current study aimed to fill this gap. Method 465 patients (71.4% male) were recruited from an inpatient substance use treatment facility from 2006 to 2009. These patients were interviewed and diagnosed using the Structure Clinical Interview for DSM-IV and the Diagnostic Interview for Personality Disorders. Results 60.6% of patients with substance dependence had a current comorbid psychiatric disorder, and more than 30% had at least two psychiatric disorders. The most common current Axis I diagnosis was major depressive disorder (25.8%), followed by PTSD (14%). Comparable rates were found for Antisocial and Borderline Personality Disorders. Females were significantly more likely to meet diagnostic criteria for a psychiatric disorder than were males (73.7% versus 55.4%). When examining comorbidities across different substance dependences, the highest rates of comorbid psychiatric disorders were found among individuals with alcohol dependence (76.8%) and cannabis dependence (76%), although rates were above 60% for cocaine and opioid dependence. Rates of psychiatric diagnoses were significantly lower (27%) among patients who did not meet diagnostic criteria for substance dependence. Conclusions There are particularly elevated rates of psychiatric disorders among individuals with substance dependence in inpatient treatment. These rates differ as a function of substance dependence type and gender, making these factors important to consider when researching and treating this type of population.

Prevalence of cannabis use is increasing, but many regular users do not develop cannabis use disorder (CUD); thus, CUD risk identification among current users is vital for targeted intervention development. Existing data suggest that high distress intolerance (DI), an individual difference reflective of the ability to tolerate negative affect, may be linked to CUD, but no studies have tested possible neurophysiological mechanisms. Increased motivated attentional processing of cannabis and negative emotional stimuli as indexed by neurophysiology [i.e. the late positive potential (LPP)], particularly during acute stress, may contribute to CUD among high DI users. Frequent cannabis users with high (n = 61) and low DI (n = 44) viewed cannabis, negative, and matched neutral images during electroencephalography (EEG) recording before and after a laboratory stressor. Cannabis cue-elicited modulation of the 1000- to 3000-milliseconds LPP was larger in high DI users at post-stressor only, although the effect was only robust in the 1000- to 2000-milliseconds window. Further, modulation magnitude in the high DI group covaried with stress-relief craving and some CUD indices in the 400- to 1000-milliseconds and 1000- to 3000-milliseconds windows, respectively. No significant effects of DI on negative stimuli-elicited LPP modulation were found, although inverse associations with some CUD indices were observed. Finally, exploratory analyses revealed some evidence for DI moderation of the relation between subjective stressor reactivity and negative stimuli-elicited LPP modulation such that greater stressor reactivity was associated with blunted versus enhanced modulation in the high and low DI groups, respectively. Negative and cannabis stimuli-elicited LPP modulation appear to index distinct, CUD-relevant neural processes in high DI cannabis users.

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