Pharmacological treatment for dual diagnosis: a literature update and a proposal of intervention

Background: It has long been appreciated that alcohol use disorder (AUD) is associated with increased risk of psychiatric disorder. As well, people with history of mental disorder are more likely to develop lifetime AUD. Nevertheless, the treatment of dual diagnosis (DD) in alcohol addiction still remains a challenge. The efficacy of pharmacological treatment for these patients has been widely investigated with controversial results. Patients with untreated psychiatric disorder are at higher risk to return to drinking and tend to do so more quickly. The aim of this review was to collect clinical data for developing guidelines for the pharmacological treatment of psychiatric diseases in a population with AUD.

Materials and methods: A literature review was conducted using the following databases: PubMed-NCBI, Cochrane database, Embase Web of Science, and Scopus, including studies published between 1980 and 2015. Search terms were: “guideline”, “treatment”, “comorbidity”, “substance abuse”, “alcohol”, “dual-diagnosis”, “antidepressant”, “antipsychotic”, “mood-stabilizer”. Out of 1521 titles, 84 studies were included for their relevance on pharmacological treatment of psychiatric disorders in people with AUD.

Results: Different drugs were collected in major pharmacological classes (antidepressant, mood-stabilizer, antipsychotic), in order to identify their proved efficacy for treating specific psychiatric disorder in the AUD population. Data were selected and verified for publications from randomized clinical trials, open-label trials and case reports.

Conclusions: DD in alcohol dependence is a complex clinical entity, and its high prevalence is supported by epidemiological data. Pharmacological management of psychiatric disorders in patients with AUD remains partially anecdotal. Based on reviewed articles, we propose a classification of psychiatric medications for treatment of mental disorders comorbid with AUD, listed with evidence-based recommendations. More research is needed to obtain and collect clinical data, in order to organize and share evidence-based guidelines.