ISSN: 2155-6105

Journal of Addiction Research & Therapy
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  • Case Report   
  • J Addict Res Ther 2019, Vol 10(4): 387
  • DOI: 10.4172/2155-6105.1000387

Electroconvulsive Therapy for Depression When Substance Use Disorders are Comorbid: A Case Report and Review of the Literature

Amanda I. Silverio*, Matthew C. Squires and Julia C. Knight
Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
*Corresponding Author : Amanda I. Silverio, Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA, Tel: +1-603-650-4725, Email: amanda.i.silverio@hitchcock.org

Received Date: May 17, 2019 / Accepted Date: Jul 12, 2019 / Published Date: Jul 19, 2019

Abstract

Substance use Disorder (SUD) is a common disorder in the United States and is frequently comorbid with depression. Electroconvulsive therapy (ECT) is the most effective treatment for depression. However, literature offers an unclear picture of whether patients with comorbid SUD are less likely to receive, or benefit from, ECT. Limited data exists regarding alcohol use disorder in ECT, while the impact of other types of SUD in ECT patients remains mostly unexplored. In this article, we review the current literature base for SUD in ECT patients and present a case where ECT was used successfully in a patient with bipolar affective disorder, current episode depressed, as well as co-morbid alcohol use disorder and opioid use disorder, in sustained remission on medication assisted therapy. Further research into ECT utilization patterns and response rates for patients with opioid use disorder is indicated.

Keywords: Medication assisted therapy; Electroconvulsive Therapy (ECT); Opioid use disorder; Substance use disorder; Bipolar disorder; Depression

Citation: Silverio AI, Squires MC, Knight JC (2019) Electroconvulsive Therapy for Depression When Substance Use Disorders are Comorbid: A Case Report and Review of the Literature . J Addict Res Ther 10:387. Doi: 10.4172/2155-6105.1000387

Copyright: © 2019 Silverio AI, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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