JOURNAL ARTICLE
Substance use outcomes among individuals with severe mental illnesses receiving assertive community treatment: A systematic review.
Published In: International Journal of Mental Health Nursing, 2023, v. 32, n. 3. P. 704 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Abufarsakh, Bassema; Kappi, Amani; Pemberton, Kylie M.; Williams, Lovoria B.; Okoli, Chizimuzo T.C. 3 of 3
Abstract
Assertive Community Treatment (ACT) is a multidisciplinary treatment approach to support people with severe mental illnesses (SMI) in their recovery. While the majority of ACT recipients report co‐morbid substance use issues, limited reviews have evaluated the impact of receiving ACT services on substance use outcomes. The purpose of this systematic review was to evaluate the impact of ACT involvement on substance use outcomes among people with SMI. A systematic literature search was conducted including articles published prior to April 2021. Twenty‐nine studies were included in this review. Of them, 15 studies implemented a controlled design (six studies demonstrated high quality) and 14 studies implemented a cohort design. From a synthesis of the reviewed studies, five areas of changes associated with substance use emerged including reduced alcohol and drug use severity, lower prevalence of alcohol and drug use, increased stage of change in substance use treatment, and fewer days of hospitalization and intoxication. Thus, future studies should examine the integration of substance use treatment services as part of ACT interventions for opportunities to enhance recovery outcomes among individuals with SMI. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Mental Health Nursing. 2023/06, Vol. 32, Issue 3, p704
- Document Type:Article
- Subject Area:Consumer Health
- Publication Date:2023
- ISSN:1445-8330
- DOI:10.1111/inm.13103
- Accession Number:163604954
- Copyright Statement:Copyright of International Journal of Mental Health Nursing is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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