期刊
ADDICTION
卷 108, 期 7, 页码 1259-1269出版社
WILEY
DOI: 10.1111/add.12153
关键词
Addiction; alcohol use in serious mental illness; cannabis use in serious mental illness; gender difference in substance use patterns; longitudinal research; serious mental illness; substance abuse
资金
- John D. and Catherine T. MacArthur Foundation Research Network on Mental Health and the Law
- NIH [DA-30763, RR-24154]
Aim To characterize longitudinal patterns of substance use across a large sample of psychiatric patients discharged from inpatient admission, followed for 1-year post-hospitalization. Design Prospective cohort study. Setting Kansas City, MO, USA; Pittsburgh, PA, USA; Worcester, MA, USA. Participants Eight hundred and one schizophrenia-spectrum (n=204), bipolar (n=137) and depressive disorder (n=460) patients from the MacArthur Violence Risk Assessment Study. Measurements Symptoms, functioning, drug/alcohol use assessed by the Brief Psychiatric Rating Scale, the Global Assessment of Functioning, and substance use interviews. Findings Patients used alcohol (67.0%; n=540) and cannabis (30.0%; n=237) more frequently than other substances up to 30 days before admission, and those with depressive and schizophrenia-spectrum used heroin more than individuals with bipolar (P=0.023). Post-hospitalization, patients using alcohol (B=-0.15, P<0.001) and cannabis (B=-0.27, P<0.001) decreased, but patterns varied across diagnosis and genders. Patients using cannabis decreased at greater rates in depressive and schizophrenia-spectrum compared with bipolar (all P<0.05), and more men used alcohol (B=0.76, P<0.001) and cannabis (B=1.56, P<0.001) than women. Cannabis (B=1.65, P<0.001) and alcohol (B=1.04, P=0.002) were associated with higher symptomatology; cannabis (B=-2.33, P<0.001) and alcohol (B=-1.45, P=0.012) were associated with lower functioning. Conclusions Substance use is frequent and associated with poor recovery in patients with serious mental illness recently discharged from psychiatric hospitalization. Addiction treatments personalized by diagnosis and gender may be effective for improving outcomes in people with serious mental illness.
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