ArticleOman medical journal2020
Factors Related to Relapse in Patients with Substance-related Disorders under Methadone Maintenance Therapy: Decision Tree Analysis.
Article in Oman medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 40 citations in OpenAlex.
- Life-skills training program: its effect on self-efficacy among patients with substance use disorders.BMC psychology · 2026Trial
- Methadone Patient Access to Collaborative Treatment: Protocol for a Pilot and a Randomized Controlled Trial to Establish Feasibility of Adoption and Impact on Methadone Treatment Delivery and Patient Outcomes.JMIR research protocols · 2025Article
- Methadone clinic staff perceptions of trauma-informed and patient-centered care: the role of individual staff characteristics.Addiction science & clinical practice · 2024Article
- Factors Associated with Relapses in Alcohol and Substance Use Disorder.The Eurasian journal of medicine · 2023Article
- Relationship between craving to drugs, emotional manipulation and interoceptive awareness for social acceptance: the addictive perspective.BMC nursing · 2023Article
- Relationship between craving to drugs, emotional manipulation and interoceptive awareness for social acceptance: the addictive perspective.BMC nursing · 2023Article
- Opioid relapse and its predictors among methadone maintenance patients: a multicenter, cross-sectional study in Vietnam.Harm reduction journal · 2023Article
- Exploring the experiences of clients receiving opioid use disorder treatment at a methadone clinic in Kenya: a qualitative study.Addiction science & clinical practice · 2022Article
- The prevalence and pattern of cannabis use among patients attending a methadone treatment clinic in Nairobi, Kenya.Substance abuse treatment, prevention, and policy · 2022Article
- Analysis of factors influencing substance use craving among Chinese substance users.Frontiers in psychiatry · 2022Article
- Decision tree model based prediction of the efficacy of acupuncture in methadone maintenance treatment.Frontiers in neurology · 2022Article
- Determinants and prevalence of relapse among patients with substance use disorders: case of Icyizere Psychotherapeutic Centre.Substance abuse treatment, prevention, and policy · 2021Article
- Complementary and Alternative Medicine for Substance Use Disorders: A Scientometric Analysis and Visualization of Its Use Between 2001 and 2020.Frontiers in psychiatry · 2021Article
- Trauma-Related Stress and Resilience in a Multistate Sample of Methadone Treatment Staff.Substance use : research and treatmentArticle
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe sought to determine the main factors related to relapse in patients with substance-related disorders (SRDs) who received methadone maintenance therapy (MMT) using decision tree (DT) analysis.
methodsWe conducted a cross-sectional study of 4175 patients referred to the 45 MMT centers in Kermanshah province, west of Iran. We included all patients who were under MMT for at least one year. All information was collected through an interview by a psychologist. Descriptive statistics and univariate and multiple regression models were used in statistical analysis. The Gini index was calculated to determine the cut-off point of nodes. We used the Classification and Regression Trees algorithm to create the DT.
resultsThe relapse rate was 76.6% for all participants, with no significant gender differences. The DT resulted in a five-level model of significant factors affecting substance abuse relapse. These included lower cost for buying substances, lower age at first substance use, history of quitting substances without medication, frequency of substances utilization per month, and frequency of methadone therapy.
conclusionsKnowing the main factors associated with substance abuse relapse could be important for health care providers to make better decisions for improving the treatment outcomes of SRDs.
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