Factors associated with illicit opioid use in methadone maintenance treatment clients in 5 Provinces, China

Exploring the experiences of clients receiving opioid use disorder treatment at a methadone clinic in Kenya: a qualitative study

BACKGROUND

Assessing the experiences of individuals on methadone treatment is essential to help evaluate the treatment program's effectiveness. This study aimed to explore the experiences of patients receiving methadone treatment at a clinic in Nairobi, Kenya.

METHOD

This study employed an exploratory qualitative study design. Through purposive sampling, participants were enrolled from individuals attending a methadone clinic for at least 2 years. Semi-structured individual interviews were used to collect data on substance use and experience before methadone treatment and experiences after starting methadone treatment, including benefits and challenges. Interviews were transcribed, and NVIVO 12 software was used to code the data using the preidentified analytical framework. Thematic analyses were utilized to identify cross-cutting themes between these two data sets. Seventeen participants were enrolled.

RESULTS

Seventeen participants were enrolled comprising 70% males, with age range from 23 to 49 years and more than half had secondary education. The interview data analysis identified four themes, namely: (a) the impact of opioid use before starting treatment which included adverse effects on health, legal problems and family dysfunction; (b) learning about methadone treatment whereby the majority were referred from community linkage programs, family and friends; (c) experiences with care at the methadone treatment clinic which included benefits such as improved health, family reintegration and stigma reduction; and (d) barriers to optimal methadone treatment such as financial constraints.

CONCLUSION

The findings of this study show that clients started methadone treatment due to the devastating impact of opioid use disorder on their lives. Methadone treatment allowed them to regain their lives from the adverse effects of opioid use disorder. Additionally, challenges such as financial constraints while accessing treatment were reported. These findings can help inform policies to improve the impact of methadone treatment.

Add-On Selective Estrogen Receptor Modulators for Methadone Maintenance Treatment

Methadone maintenance treatment (MMT) remains the cornerstone for the management of opiate abuse. However, MMT can be associated with complex factors, including complications during the tolerance phase, the inability of some patients to maintain treatment effects during the tapering or abstinence phases, and the development of methadone dependence. Previous studies have revealed a sex disparity in MMT efficacy, showing that women undergoing MMT experiencing an increase in psychological symptoms compared with men and suggesting a link between disparate responses and the effects of estrogen signaling on methadone metabolism. More specifically, estradiol levels are positively associated with MMT dosing, and the expression of a single-nucleotide polymorphism (SNP) associated with estrogen receptor (ER) regulation is also associated with MMT dosing. In addition to performing mechanistic dissections of estrogen signaling in the presence of methadone, past studies have also proposed the targeting of estrogen signaling during MMT. The present report provides an overview of the relevant literature regarding sex effects, including differences in sex hormones and their potential impacts on MMT regimens. Moreover, this article provides a pharmacological perspective on the targeting of estrogen signals through the use of selective ER modulators (SERMs) during MMT. Preliminary preclinical experiments were also performed to evaluate the potential effects of targeting estrogen signaling with tamoxifen on methadone metabolism.

Factors Related to Relapse in Patients with Substance-related Disorders under Methadone Maintenance Therapy: Decision Tree Analysis

Objectives

We 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.

Methods

We 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.

Results

The 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.

Conclusions

Knowing 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.

Feasibility of a Mobile Phone App to Support Recovery From Addiction in China: Secondary Analysis of a Pilot Study

Background

Mobile health technologies have been found to improve the self-management of chronic diseases. However, there is limited research regarding their feasibility in supporting recovery from substance use disorders (SUDs) in China.

Objective

The objective of this study was to examine the feasibility of a mobile phone-based ecological momentary assessment (EMA) app by testing the concordance of drug use assessed by the EMA, urine testing, and a life experience timeline (LET) assessment.

Methods

A total of 75 participants dependent on heroin or amphetamine-type stimulant (ATS) in Shanghai were recruited to participate in a 4-week pilot study. Of the participants, 50 (67% [50/75]) were randomly assigned to the experimental group and 25 (33% [25/75]) were assigned to the control group. The experimental group used mobile health (mHealth) based EMA technology to assess their daily drug use in natural environments and received 2 short health messages each day, whereas the control group only received 2 short health messages each day from the app. Urine tests and LET assessments were conducted each week and a post-intervention survey was administered to both groups. The correlations among the EMA, the LET assessment, and the urine test were investigated.

Results

The mean age of the participants was 41.6 (SD 8.0) years, and 71% (53/75) were male. During the 4 weeks of observation, 690 daily EMA survey data were recorded, with a response rate of 49.29% (690/1400). With respect to drug use, the percent of agreement between the EMA and the LET was 66.7%, 79.2%, 72.4%, and 85.8%, respectively, for each of the 4 weeks, whereas the percent of agreement between the EMA and the urine test was 51.2%, 65.1%, 61.9%, and 71.5%, respectively. The post-intervention survey indicated that 46% (32/70) of the participants preferred face-to-face interviews rather than the mHealth app.

Conclusions

This study demonstrated poor agreement between the EMA data and the LET and found that the acceptance of mHealth among individuals with SUDs in China was not positive. Hence, greater efforts are needed to improve the feasibility of mHealth in China.

Social-demographic shift in drug users at the first-ever- methadone maintenance treatment in Wuhan, China

The methadone maintenance treatment (MMT) has been initiated in Wuhan, China since early 2006. To understand the social-demographic, behavioral, and infectious diseases characteristics of drug users enrolled in their first-ever-MMT between 2006 and 2015, a retrospective observational study was implemented to also provide evidence for health policy-decisions to reduce harm and control disease. Pearson chi-square tests and t-tests were used to assess significant differences between two 5-year periods, 2006-2010 and 2011-2015. We observed increases in the mean age (38.65 vs. 42.43 years, P < 0.001), mean age of initial opioid drug use (28.18 vs. 31.07 years, P < 0.001), employment (11.9% vs. 30.7%, P < 0.001), married/co-habiting (42.4% vs. 47.8%, P < 0.001), and declines in higher education level (93.6% vs. 84.8%, P < 0.001), injection (82.3% vs. 75.1%, P < 0.001), syringe sharing (27.7% vs. 9.9%, P < 0.001), HCV infection rates (72.9% vs. 70.5%, P = 0.017). The number of drug users enrolling each year reduced following a continuous rapid growth in the first 3 years. The findings imply for adjusting in treatment services and allocation of resources to respond to emerging trends. In addition, the data will also be helpful for identifying needs and getting a baseline insight of the social-demographic and behavioral characteristics of the opioid abusers in the area.