Predictors of retention in the treatment for opioid dependence

Shouan, Anish; Ghosh, Abhishek; Singh, Shubh Mohan; Basu, Debasish; Mattoo, Surendra Kumar

doi:10.4103/psychiatry.indianjpsychiatry_448_20

Cited by 5 publications

(2 citation statements)

References 32 publications

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“…However, no significant disparities were observed in age at first use or route of intake between the two groups. In a study by Shouan et al, no significant difference was observed in any of the demographic and clinical profiles of the groups that followed up and those who dropped out except for the route of drug use; non-intravenous drug use was associated with dropping out [30].…”

Section: Discussionmentioning

confidence: 91%

Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

Yadav,

Kumar,

Singh

et al. 2024

Cureus

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Background and objectiveIn drug-deaddiction programs, dropout is a major problem in any drug de-addiction program, as dependence is a chronic illness known to relapse frequently. Understanding factors that predict dropout can help design targeted interventions to promote follow-up. This study aimed to assess the various sociodemographic characteristics of opioid-dependent subjects on buprenorphine maintenance treatment and dropping out at or before the three-month follow-up period. MethodIn this study, the sociodemographic characteristics and quality of life (QOL) of 34 opioid-dependent subjects (males, 32, 94%; females, 2, 6%) on the day of their enrolment in an opioid substitution therapy (OST) center were assessed, and a comparison of sociodemographic and drug use pattern was made between those who followed up and those who dropped out by the end of three months. ResultsStatistical analysis of the various sociodemographic characteristics using appropriate tests yielded that predictors of good follow-up are younger age (F = 4.57907, P = 0.04008), better education (F = 5.07221, P = 0.031305), and being part of a nuclear family. Longer follow-up was associated with shorter opioid intake duration (F = 8.58908, P = 0.006195). Better social relationships, as evidenced by the social relationship domain score of QOL, predicted longer follow-up (F = 8.58908, P = 0.006195). Other characteristics analyzed did not yield significant associations. ConclusionsThe study unveils the complexity of opioid addiction recovery, revealing the interplay of age, education, family, addiction duration, and support, shaping one's resilience in recovery.

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Section: Discussionmentioning

confidence: 91%

Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

Yadav,

Kumar,

Singh

et al. 2024

Cureus

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“…Empirical studies of OST effectiveness and integration: We reviewed the empirical evidence on effectiveness of OST for various outcomes in PWIDs. Most of the studies were conducted with treatment-seeking populations with convenience sampling and showed better treatment retention rates, improved physical and mental health and decreased needle sharing and crime 81 82 83 84 85 . summarizes these findings.…”

Section: Resultsmentioning

confidence: 99%

HIV, hepatitis B & C in people who inject drugs in India: A systematic review of regional heterogeneity & overview of opioid substitution treatment

Shukla,

Shivaprakash,

Kumar

2023

Indian Journal of Medical Research

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Background & objectives: This systematic review evaluates the human immunodeficiency virus (HIV), hepatitis C virus (HCV) and hepatitis B virus (HBV) burden among people who inject drugs (PWIDs) in India. In addition, we selectively examined research on opioid substitution treatment (OST)-related services due to their role in antiviral treatment uptake and adherence. Methods: Data were sourced from peer-reviewed and government publications between 1991 and September 20, 2023, searched in MEDLINE, Scopus and EBSCOhost. English language studies reporting weighted prevalence or raw numbers and recruitment sites were included for review. Quality was assessed using the Joanna Briggs Institute tool. Data synthesis was done in graphs and tables. Results: We included 50 reports, yielding 150 HIV, 68 HCV and 24 HBV prevalence estimates across India, revealing significant regional heterogeneity. Notably, 16 States had a single community-based HIV estimate, and 19 States had limited or no HCV data. The highest HIV and HCV prevalence was in Manipur (74.7% and 97.5%, respectively) in 1996. Recent spikes included 50.2 per cent HIV prevalence in Punjab (2010) and 73 per cent HCV in Uttar Pradesh (2021). Nationally, OST coverage in 2020 was under five per cent, with some northeast, north and central States exceeding this, but most others were falling below two per cent. No studies on the cost-effectiveness of directly observed treatment models for OST were identified. Interpretation & conclusions: There is a lack of sufficiently granular and generalizable estimates for HIV prevalence and any estimates for HCV and HBV among PWIDs in large parts of the country. Community-based representative studies are required to quantify the prevalence and severity of these diseases and allocate resources.

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A study of predictors of retention to naltrexone maintenance therapy in patients with opioid use disorder: a prospective study

Lone,

Jan,

Kousar

et al. 2024

Middle East Curr Psychiatry

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Objectives Naltrexone prophylaxis is a well-established treatment for opioid use disorder. Our study aimed to track patients on naltrexone and investigate the factors predictive of retention. Materials and methods The study comprised 100 participants initiated on naltrexone, who underwent a 12-week follow-up. We analyzed a range of socio-demographic and clinical variables at 04 and 12 weeks to compare those who remained in treatment program with those who experienced relapse. Results The results revealed a predominantly young, unmarried, male, rural-dwelling sample with heroin as the primary opioid. Intravenous use was common (75%), with 57% of the participants exhibiting positive serology results for infections by hepatitis C (HCV), hepatitis B (HBV), and/or human immunodeficiency virus (HIV), and a significant proportion initiating opioids before the age of 20 (31%). The retention rates at 04 and 12 weeks were 83% and 64%, respectively. Several socio-clinical factors including age of initiation of use, rural residence, and comorbid psychiatric illness significantly influenced retention at 04 and 12 weeks. Conclusion The findings highlight the importance of tailored interventions that take into consideration the age, residence, socio-economic status, and psychiatric comorbidity to enhance retention rates. Identifying these factors can help improve the effectiveness of treatment programs and promote sustained recovery efforts.

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Predictors of retention in the treatment for opioid dependence

Cited by 5 publications

References 32 publications

Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

HIV, hepatitis B & C in people who inject drugs in India: A systematic review of regional heterogeneity & overview of opioid substitution treatment

A study of predictors of retention to naltrexone maintenance therapy in patients with opioid use disorder: a prospective study

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