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Treating depression in substance abusers.

Abstract

The literature on the diagnosis and treatment of depression is reviewed to arrive at recommendations for clinical practice, future research, and models of service delivery. The DSM-IV criteria are found to provide a sound basis for diagnosis, and a review of placebo-controlled trials of antidepressant medications among substance-dependent patients suggests medication is effective in the setting of careful diagnosis, preferably during a currently observed abstinent period. Clinical recommendations offered for the approach to patients with co-occurring depression and substance dependence include the following: 1) Initiate treatment for substance dependence and encourage abstinence; 2) Conduct a careful psychiatric history and apply DSM-IV criteria for primary or substance-induced depression; 3) If depression meets diagnostic criteria and persists despite treatment of substance use disorder, treat the depression. Future research should include trials of psychotherapeutic or behavioral treatments, studies of treatment algorithms and of integrated systems of care, and studies of methods for disseminating diagnostic and treatment methods in an effort to diminish traditional boundaries between the skill sets of mental health and substance abuse clinicians.

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BibTeXRIS

Edward V Nunes, Frances R Levin. 2006. Treating depression in substance abusers.. https://doi.org/10.1007/s11920-006-0037-8

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Assessing the comorbidity between asthma and depression through polygenic risk scoring and time-to-event models.

BACKGROUND: Patients with asthma have an increased risk of developing depression, affecting their quality of life. To date, the processes contributing to this comorbidity remain unclear. METHODS: We integrated two large genome-wide association studies (88,486 patients with asthma and 447,859 controls; 412,024 patients with depression and 1,587,577 controls) with cross-sectional and longitudinal information available from the All of Us Research Program (N = 87,167) through polygenic risk scoring (PRS), Cox proportional-hazards models, one-sample Mendelian randomization (MR), and gene-set and drug-repurposing analyses. RESULTS: We observed that depression PRS was associated with increased asthma risk (hazard ratio, HR = 1.13, 95% CI = 1.09-1.17), also when accounting for comorbidity status (HR = 1.08, 95% CI = 1.04-1.12). Conversely, the effect of asthma PRS was null after accounting for comorbidity status. One-sample MR analysis showed an effect of depression genetic liability on asthma, ranging from beta = 0.36 ± 0.03 when considering a linear relationship to beta = 3.21 ± 0.31 when considering possible nonlinear relationships. Conversely, the effect of asthma genetic risk on depression was null after accounting for potential confounders. The gene-set analyses showed that asthma and depression polygenic risks share biological processes, molecular functions, and cellular components related to the immune system and the lung-brain axis. CONCLUSIONS: Genetic predisposition contributes to asthma-depression comorbidity through direct effects and shared pathogenic processes. These findings highlight the potential to develop targeted interventions to prevent and treat the co-occurrence of respiratory and neuropsychiatric disorders.

Comorbidity↗