Levels of Relapse Risk among Substance Use Addicts in Langata Sub-County, Nairobi, Kenya

Substance use rehabilitation among individuals in recovery is significant to parents, peers, therapists and other stakeholders across the globe. Despite advances in addiction treatment, relapse rates remain extremely high. This study examined the levels of relapse risk among substance use addicts in Langata sub-county, Nairobi, Kenya. The study was grounded on Relapse prevention theory. The study employed descriptive research design. Through census method, the study utilized a sample size of 144 participants. The study utilized the Stimulant Relapse Risk Scale (SRRS), to collect data. The data was analyzed using descriptive statistics specifically percentages and frequencies. The results showed that there were 3 (2.4%) respondents were in the category of low level of stimulant relapse risk. There were 71 (56.8%) respondents were in the category of moderate level of stimulant relapse. There were 51(40.8%) respondents who scored in category of high level of stimulant relapse risk. The study recommends to rehabilitation centers in Langata Sub-County to ensure follow ups of their clients’ progress in their families in order to reduce the chances of relapsing. The rehabilitation centers also need to provide family counseling in order to deal with family issues that could be contributing to substance abuse and also high risk of relapsing. Also, to reduce the chances of relapse among the substance use addicts, there is a need to encourage addicts to see the importance of going through treatment without forcing them. Families also need to be encouraged to create a favorable environment that would allow substance use addicts to have lower chances of relapsing after going through treatment and counseling.

Levels, relapse risk, substance use addicts, Langa’ta Sub-County, Nairobi

1. Decker, K. P., Peglow, S. L., Samples, C. R., & Cunningham, T. D. (2017). Long-term outcomes after residential substance use treatment: Relapse, morbidity, and mortality. Military medicine, 182(1-2), e1589-e1595. [Google Scholar] [Crossref]

2. Kabisa, E., Biracyaza, E., Habagusenga, J. D. A., & Umubyeyi, A. (2021). Determinants and prevalence of relapse among patients with substance use disorders: case of Icyizere Psychotherapeutic Centre. Substance abuse treatment, prevention, and policy, 16, 1-12. [Google Scholar] [Crossref]

3. Kibet, L. J., Munyua, J. K., & Ogula, P. (2023). Prevalence of relapse among clients with alcohol use disorder in Eldoret, Kenya. [Google Scholar] [Crossref]

4. Kuyeya, F. (2021). Effectiveness of Treatment and Rehabilitation Programs for Drug and Substance Dependence in Mombasa County, Kenya. African Journal of Alcohol and Drug Abuse (AJADA), 3-14. [Google Scholar] [Crossref]

5. McKay, J. R. (2021). Impact of continuing care on recovery from substance use disorder. Alcohol research: current reviews, 41(1). [Google Scholar] [Crossref]

6. Namukoa, S., & Githae, E. (2021). Exploring the Role of Spousal Communication as a Predictor of Relapse among Individuals in Recovery from Substance Use Disorders: Implications for Treatment Programs. African Journal of Alcohol and Drug Abuse (AJADA), 56-67. [Google Scholar] [Crossref]

7. Nikmanesh, Z., Baluchi, M. H., & Motlagh, A. A. P. (2017). The role of self-efficacy beliefs and social support on the prediction of addiction relapse. International Journal of High-Risk Behaviours and Addiction, 6(1). [Google Scholar] [Crossref]

8. Ogai, Y., Haraguchi, A., Kondo, A., Ishibashi, Y., Umeno, M., Kikumoto, H., ... & Ikeda, K. (2007). Development and validation of the Stimulant Relapse Risk Scale for drug abusers in Japan. Drug and alcohol dependence, 88(2-3), 174-181. [Google Scholar] [Crossref]

9. Ramsewak, S., Putteeraj, M., & Somanah, J. (2020). Exploring substance use disorders and relapse in Mauritian male addicts. Heliyon, 6(8). [Google Scholar] [Crossref]

10. Sinha, R. (2024). Stress and substance use disorders: risk, relapse, and treatment outcomes. The Journal of Clinical Investigation, 134(16). [Google Scholar] [Crossref]

11. Sohrabpour M, Kamyab A, Yari A, Harsini PA, Khani Jeihooni A. (2024). The factors affecting substance abuse relapse based on the theory of planned behaviour in male addicts covered by addiction treatment centres in Southern Iran. BMC Public Health. 24(1):1265. doi: 10.1186/s12889-024-18733-1. PMID: 38720295; PMCID: PMC11080208. [Google Scholar] [Crossref]

12. Stanikzai, M. H., & Wahidi, M. W. (2023). Bio-psycho-social profile of people with substance use disorders treated in locally assigned treatment facilities in Kandahar, Afghanistan. Substance Abuse and Rehabilitation, 89-98. [Google Scholar] [Crossref]

13. Yamashita, A., Yoshioka, S. I., & Yajima, Y. (2021). Resilience and related factors as predictors of relapse risk in patients with substance use disorder: a cross-sectional study. Substance abuse treatment, prevention, and policy, 16(1), 40. [Google Scholar] [Crossref]

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