Perceived Social Support and Opioid Relapse Among Patients Receiving Methadone Maintenance Therapy (MMT) at a Public Hospital in Malaysia - a cross-sectional study

Authors

Keywords:

Perceived Social Support, Opioid Use Disorder, Opioid Maintenance Therapy, Recurrence

Abstract

Background: Opioid use disorder (OUD) is a chronic, relapsing condition that poses a growing public health challenge globally and in Malaysia, with significant medical, social, and economic consequences. Despite the effectiveness of opioid agonist maintenance treatment, particularly Methadone maintenance therapy (MMT), relapse remains common and limits long-term recovery outcomes. While demographic and clinical predictors of relapse are well established, the role of perceived social support as a modifiable psychosocial factor remains underexplored, particularly in the Malaysian setting.

 

Aim: This cross-sectional study aimed to examine the association between perceived social support and opioid relapses among patients receiving MMT.

 

Methods: This cross-sectional study was conducted over six months in 2025, involving 56 (aged 32-71 years old) opioid-dependent individuals undergoing MMT. Participants were recruited through universal sampling and completed interview-administered questionnaires that captured sociodemographic data and perceived social support, as measured by the 24-item Social Provisions Scale (SPS). Relapse of opioid use was defined as positive urine tests during treatment. Social support and relapse rates were dichotomized using median cut-off values. Statistical analyses, including chi-square test, independent t-test, and the Mann-Whitney U test, were performed using SPSS version 29.

 

Results: Most participants were male (94.6%), aged 40-59 years, predominantly Malay (72.0%), and from the lower-income group. Sixty-one per cent (n = 32) perceived good social support, and no statistically significant association was found between social support and relapse rate (p=0.427). Scatter plot analysis similarly demonstrated no clear linear relationship between social support scores and frequency of relapse. Among the sociodemographic variables, only age (p = 0.004) and education level (p = 0.038) were significantly associated with relapse. Participants aged 50 - 59 years and those with lower educational attainment exhibited higher relapse rates. Other variables, including gender, ethnicity, employment status, income, duration of opioid use, and duration of MMT, were not significantly associated with relapse.

 

Conclusion: These findings suggest that while good social support is widely recognized as beneficial in substance use recovery, it may not independently predict relapse frequency within this cohort. Instead, factors involved in relapses appear to be a multifactorial outcome influenced by a complex interplay of demographic, behavioral, and clinical factors. The lack of association may also reflect sample homogeneity, long treatment duration among participants, and the relatively small sample size, which may limit statistical power. Additionally, the exclusion of individuals who defaulted from treatment may have underestimated the true impact of social support. Despite the absence of a direct association, integrating psychosocial interventions, including family involvement and peer support, alongside pharmacological treatment to address socioeconomic vulnerabilities may improve overall outcomes. In conclusion, relapse among individuals with OUD undergoing MMT is not solely determined by perceived social support. Future research with larger, multicenter studies is warranted to better understand the role of social support and to inform comprehensive, culturally appropriate treatment strategies in Malaysia.

References

1. World Health Organization. International classification of diseases for mortality and morbidity statistics (11th Revision) [Internet]. Geneva: World Health Organization; 2019 [cited 2024 Jun 12]. Available from: https://icd.who.int/

2. Uhl GR, Koob GF, Cable J. The neurobiology of addiction. Ann N Y Acad Sci 2019;1451:5–28.

3. Nithia. Informations On Drugs 2023 - National Anti-Drugs Agency [Internet]. National Anti-Drugs Agency. 2024. Available from: https://www.aadk.gov.my/en/informations-on-drugs-2023/

4. Opioid agonist maintenance treatment as an essential health service: implementation guidance on mitigating disruption of services for treatment of opioid dependence. Geneva: World Health Organization; 2025. https://doi.org/10.2471/B09543. Licence: CC BY-NC-SA 3.0 IGO

5. Norsiah Ali, Salina Aziz, Salmah Nordin, Norliza Che Mi, Norni Abdullah, Maimunah Mahmud, V Paranthaman, Muhd Hatta Abd Mutalip. Malaysian Methadone Treatment Outcome Study (MyTOS) 2016

6. National Academies of Sciences, Engineering, and Medicine. Medications for Opioid Use Disorder: Evidence Update. 2019. https://www.ncbi.nlm.nih.gov/books/NBK538936/

7. Latsko E, Denham A, Barnett ML. Medicaid And Methadone For Opioid Use Disorder: Expanded Coverage Increased Distribution In 10 States, 2019–24. Health Affairs. 2025 Sep 1;44(9):1112–21

8. Ab Lloh S, Mohamad N, Badrin S, Abu Bakar R, Ahmad I. Continuity of illicit drug use among Malay patients attending methadone clinics in Kelantan, Malaysia. J Ethn Subst Abuse. 2021;22(1):45–59. doi:10.1080/15332640.2021.1871696.

9. Mohmad F, Ismail S, Abdul Manaf R. Prediction of Relapse Among Individuals Undergoing Methadone Maintenance Therapy in Johor Bahru Health District. Mal J Med Health Sci. 2022; 18(4): 163-172

10. Han B, Avery J. Relapse prevention. In: Pocket guide to addiction assessment and treatment. Washington (DC): American Psychiatric Association; 2016. p. 273.

11. López-Paterna P, Erahmouni-Bensliman I, Sánchez-Ruano R, Rodríguez-Barrientos R, Rico-Blázquez M. Quality of Life, Perceived Social Support, and Treatment Adherence Among Methadone Maintenance Program Users: An Observational Cross-Sectional Study. Healthcare [Internet]. 2025 Jul 29 [cited 2025 Oct 24];13(15):1849. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC12346077/

‌Kumar N, Oles W, Howell BA, Janmohamed K,et al. The role of social network support in treatment outcomes for medication for opioid use disorder: A systematic review. J Subst Abuse Treat. 2021;127:108367. doi: 10.1016/j.jsat.2021.108367

13. Nguyen HTT, Dinh DX. Opioid relapse and its predictors among methadone maintenance patients: a multicenter, cross-sectional study in Vietnam. Harm Reduct J. 2023;20(1):136. doi: 10.1186/s12954-023-00872-0

14. Cooperman NA, Hanley AW, Kline A, Garland EL. A pilot randomized clinical trial of mindfulness-oriented recovery enhancement as an adjunct to methadone treatment for people with opioid use disorder and chronic pain: Impact on illicit drug use, health, and well-being. J Subst Abuse Treat. 2021;127:108468. doi: https://doi.org/10.1016/j.jsat.2021.108468

15. Dugosh K, Abraham A, Seymour B, McLoyd K, Chalk M, Festinger D. A Systematic Review on the Use of Psychosocial Interventions in Conjunction With Medications for the Treatment of Opioid Addiction. J Addict Med. 2016;10(2):93-103. doi: 10.1097/ADM.0000000000000193

16. Kleinman MB, Anvari MS, Seitz-Brown CJ, Bradley VD, Tralka H, Felton JW, Belcher AM, Greenblatt AD, Magidson JF. Psychosocial challenges affecting patient-defined medication for opioid use disorder treatment outcomes in a low-income, underserved population: Application of the social-ecological framework. J Subst Use Addict Treat. 2023;149:209046. doi: 10.1016/j.josat.2023.209046

17. Ali, R., Ibrahim, F., & Naresh Kumar, M. Factors Affecting Drug Relapse in Malaysia: An Empirical Evidence. Asian Social Science. 2020; 5: 129-133.

18. Mattick, Richard P., Courtney Breen, Jo Kimber, and Marina Davoli. Methadone Maintenance Therapy versus No Opioid Replacement Therapy for Opioid Dependence. The Cochrane Database of Systematic Reviews. 2009; 3 Accessed October 14, 2024. https://doi.org/10.1002/14651858.CD002209.pub2.

19. Cutrona, C. E., & Russell, D. W. (1987). The provisions of social relationships and adaptation to stress. In W. H. Jones & D. Perlman (Eds.), Advances in Personal Relationships (Vol. 1, pp. 37–67). Greenwich, CT: JAI Press

20. Naji L, Dennis BB, Bawor M, Plater C, Pare G, Worster A, et al. A Prospective Study to Investigate Predictors of Relapse among Patients with Opioid Use Disorder Treated with Methadone. Substance Abuse: Research and Treatment [Internet]. 2016 Jan [cited 2019 Nov 25];10:SART.S37030. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827793/

21. Greenfield SF, Back SE, Lawson K, Brady KT. Substance Abuse in Women. The Psychiatric clinics of North America [Internet]. 2010 Jun 1;33(2):339–55. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124962/

22. Komasi S, Saeidi M, Amiri MM, Nazeie N, Shams Alizadeh N, Soroush A. Triggers of Substance Abuse Slip and Relapse During Outpatient Treatment in Methadone/Buprenorphine Maintenance Therapy Clinics: A Predictive Model with Emphasis on Treatment-Related Factors. Jundishapur Journal of Health Sciences (JJHS) [Internet]. 2017 Jul 31 [cited 2022 Jan 27];9(3). Available from: https://brief.land/jjhs/articles/57688.html

23. Tang X, Fan C, Wang C, Wang W, Chen Z, Xu C, Ling L. The risk assessment of relapse among newly enrolled participants in methadone maintenance treatment: a group-LASSO based Bayesian network study. Front Public Health. 2022;10:1032217. doi:10.3389/fpubh.2022.1032217.

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Published

2026-08-18

How to Cite

Zakaria, N. A. Y., Mohamad Zulkifli , N. H., Lokman Hadi , P. L. J., Oh Sook Yun Cassandra, Phoebe Lim Xin Jie, & Majeed, Z. A. (2026). Perceived Social Support and Opioid Relapse Among Patients Receiving Methadone Maintenance Therapy (MMT) at a Public Hospital in Malaysia - a cross-sectional study. International Journal of Medical Students. Retrieved from https://ijms.pitt.edu/IJMS/article/view/4711

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