JOURNAL ARTICLE

"Now I Have My Own Key": The Impact of Housing Stability on Recovery and Recidivism Reduction Using a Recovery Capital Framework.

  • Published In: Urban Social Work, 2023, v. 7, n. 2. P. 116 1 of 3

  • Database: Sociology Source Ultimate 2 of 3

  • Authored By: Howard, Heather; Skinner-Osei, Precious; Mitchell, Christina; Cadavid, Erica; Hulick, John 3 of 3

Abstract

The National Institute on Drug Abuse (2020) reported 85% of the U.S. prison population had a substance use disorder (SUD) or was incarcerated for drug-use crimes. Applying Comprehensive Opioid, Stimulant, Substance Use Program funds, the Palm Beach County Office of Behavioral Health, and SUDs developed a comprehensive person-centered, recovery-oriented approach. This mixed-methods study (N = 36) examined how social capital, housing stability, and recovery-oriented care impacted personal capital, rearrest, and housing stability in criminal-justice-involved individuals with SUDs. Of the 36 participants, 86% (n = 31) did not have a rearrest, and 70% of participants were then employed shortly after their Comprehensive Opioid Stimulant Substance Use Program enrollment. Three major themes emerged from the interviews (n = 8): beginning recovery, peer navigation, and housing stability. This study demonstrates that housing stability, peer-support specialists, and care coordination are vital to increase recovery capital, aiding recovery, and reducing recidivism. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Urban Social Work. 2023/07, Vol. 7, Issue 2, p116
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:2474-8684
  • DOI:10.1891/USW-2023-0004
  • Accession Number:173863252
  • Copyright Statement:Copyright of Urban Social Work is the property of Springer Publishing Company, Inc. 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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