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    Substance use & misuse

    Substance use & misuse

    JournalISSN 1082-6084eISSN 1532-2491中科院 医学 4区

    年发文量

    研究主题

    论文(5816)

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    1A Target Product Profile Framework to Guide Patient-Centered Development, Regulatory Approval, and Market Access of Digital Therapeutics for Substance Use Disorders
    Leonardo M. Angelone,Tam Nguyen,Elena Koustova
    2026
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    2Examining Measurement Agreement Between Momentary and Retrospective Measures of Depression and Anxiety and Their Associations with Vaping in Young Adults
    Priya B. Thomas,Emily T. Hébert, Bara S. Bataineh,Michael J. Zvolensky, Joel Tsevat, Anna V. Wilkinson
    2026
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    3Yoga for Tobacco Cessation: A Randomized Controlled Trial (QUIT-SMART)
    Sudha Lama, Shruti Singh,Partha Haldar, Asmita Shukla, Varun Chhabra, Akriti Shukla, Anu James Vibin, Man Singh Jat, Dhanlika,Rajesh Sagar, Udisha Singh,Gautam Sharma
    2026
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    4Method of Use Matters: Cannabis Product Type and Polysubstance Use among Adult Cannabis Users
    Kelsi Moscrop-Blake,Wanda E. Leal
    2026
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    5A Biopsychosocial Model of Predictors of Methadone Maintenance Treatment Retention among Iranian Men with Opioid Use Disorder
    Ebrahim Abdollahi, Mohammad Bagher Saberizafarghandi,Mahdi Amini, Fatemeh Sadat Hosseini-Baharanchi

    Background Opioid use disorder remains a significant public health burden in Iran. While methadone maintenance treatment (MMT) is effective, its success is often limited by high attrition rates. Most protocols emphasize pharmacological factors, neglecting the multifaceted biopsychosocial nature of treatment retention. Methods This prospective longitudinal cohort study involved 342 men with opioid use disorder from 10 public and private treatment centers in Iran. Path analysis with diagonally weighted least squares (DWLS) was used to evaluate biological, social, and psychological predictors of six-month treatment retention. Results The biopsychosocial path model demonstrated favorable fit (Scaled CFI = 0.966, Scaled TLI = 0.923, Scaled RMSEA = 0.061, Robust SRMR = 0.041). Full-time employment (beta = 0.35, p < 0.001), participant age (beta = 0.12, p = 0.032), and methadone dose (beta = 0.26, p < 0.001) were significant positive factors associated with retention. Global psychological distress (beta = -0.36, p < 0.001) negatively predicted retention and significantly mediated the effects of social and biological factors. Criminal history primarily influenced retention indirectly by increasing psychological distress and exhibited a significant negative direct effect (beta = -0.22, p < 0.001). Conclusions MMT retention is determined by the interplay of social stability and psychological health. Integrating vocational rehabilitation and routine mental health screening for global distress into clinical protocols is essential for enhancing treatment persistence and reducing dropout rates.

    2026
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    高被引作者

    作者引用发文
    Franca Vicino18402
    Steve Y. Sussman169344
    Jennifer B Unger125743
    Stephen Magura110729
    Robert Granfield10302
    Steffanie Strathdee90821
    Massimo Buscema83919
    Alexandre B Laudet8346
    Thomas William Valente7306
    Joseph Donnermeyer6796

    高产作者

    作者引用发文
    Steve Y. Sussman169344
    Jennifer B Unger125743
    Carl Leukefeld56334
    Allaman Allamani27333
    Michael J. Zvolensky31531
    Stephen Magura110729
    Samuel R. Friedman50328
    Carl Latkin51523
    Steffanie Strathdee90821
    Timothy P. Johnson47321

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