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Stimulant use predicts high-risk substance use behaviors during medication treatment for opioid use disorder.

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Bibliographic Details
Title: Stimulant use predicts high-risk substance use behaviors during medication treatment for opioid use disorder.
Authors: Marino EN; Be Well Institute on Substance Use and Related Disorders, University of Texas Health Science Center at San Antonio, 5109 Medical Drive, MC8350, San Antonio, TX 78229, USA; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC7792, San Antonio, TX 78229, USA. Electronic address: marinoe@uthscsa.edu., Bone C; Be Well Institute on Substance Use and Related Disorders, University of Texas Health Science Center at San Antonio, 5109 Medical Drive, MC8350, San Antonio, TX 78229, USA; Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC7843, San Antonio, TX 78229, USA., Perez MC; Be Well Institute on Substance Use and Related Disorders, University of Texas Health Science Center at San Antonio, 5109 Medical Drive, MC8350, San Antonio, TX 78229, USA., Robles RC; Be Well Institute on Substance Use and Related Disorders, University of Texas Health Science Center at San Antonio, 5109 Medical Drive, MC8350, San Antonio, TX 78229, USA., Potter JS; Be Well Institute on Substance Use and Related Disorders, University of Texas Health Science Center at San Antonio, 5109 Medical Drive, MC8350, San Antonio, TX 78229, USA; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC7792, San Antonio, TX 78229, USA.
Source: Addictive behaviors [Addict Behav] 2026 Jul; Vol. 178, pp. 108673. Date of Electronic Publication: 2026 Mar 17.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: England NLM ID: 7603486 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6327 (Electronic) Linking ISSN: 03064603 NLM ISO Abbreviation: Addict Behav Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-6327
DOI:10.1016/j.addbeh.2026.108673