Methadone Clinics: Evaluation of a Pilot Medication-Assisted Therapy Program in Kazakhstan: Successes, Challenges, and Opportunities for Scaleup.
Evaluation of a pilot medication-assisted therapy program in Kazakhstan: successes, challenges, and opportunities for scaleup.
Adv Prev Med. 2012; 2012: 308793
Boltaev AA, Deryabina AP, Kusainov A, Howard AA
Study Aims. Evaluate the quality and effectiveness of the medication-assisted therapy (MAT) pilot in Kazakhstan and review implementation context and related challenges. Methods. We performed a desk review of MAT policy and program documents and reviewed medical records at three MAT sites in Kazakhstan. MAT patients (n = 93) were interviewed to assess their perceptions of the program and its impact on their health, criminal, drug use, and HIV risk related behaviors as well as expenditures on nonprescribed psychoactive drugs. Persons injecting drugs who are not in treatment, MAT program staff, and other stakeholders were interviewed to obtain their perspectives on MAT. Results. Legislation supports introducing MAT as a standard of care for treatment of opioid dependence; however, its progress has been hampered by active opposition. Inadequate access and coverage, insufficient supply management, scarce infrastructure of narcological facilities, limited opportunities for staff development, and restrictive methadone dispensing policies compromise the quality of the intervention and limit its potential benefits. There were significant reductions in criminal, drug use, and HIV risk related behaviors in patients receiving MAT. Conclusions. The MAT pilot in Kazakhstan demonstrated its feasibility and effectiveness in the local context and is recommended for scaleup throughout the country.
HubMed – Methadone
A Comparison of Cigarette Smoking Profiles in Opioid-Dependent Pregnant Patients Receiving Methadone or Buprenorphine.
Nicotine Tob Res. 2013 Jan 3;
Chisolm MS, Fitzsimons H, Leoutsakos JM, Acquavita SP, Heil SH, Wilson-Murphy M, Tuten M, Kaltenbach K, Martin PR, Winklbaur B, Jansson LM, Jones HE
INTRODUCTION: Little is known about the relationship between cigarette smoking and agonist treatment in opioid-dependent pregnant patients. The objective of this study is to examine the extent to which cigarette smoking profiles differentially changed during the course of pregnancy in opioid-dependent patients receiving either double-blind methadone or buprenorphine. Patients were participants in the international, randomized controlled Maternal Opioid Treatment: Human Experimental Research (MOTHER) study. METHODS: A sample of opioid-maintained pregnant patients (18-41 years old) with available smoking data who completed a multisite, double-blind, double-dummy, randomized controlled trial of methadone (n = 67) and buprenorphine (n = 57) between 2005 and 2008. Participants were compared on smoking variables based on opioid agonist treatment condition. RESULTS: Overall, 95% of the sample reported cigarette smoking at treatment entry. Participants in the two medication conditions were similar on pretreatment characteristics including smoking rates and daily cigarette amounts. Over the course of the pregnancy, no meaningful changes in cigarette smoking were observed for either medication condition. The fitted difference in change in adjusted cigarettes per day between the two conditions was small and nonsignificant (? = -0.08, SE = 0.05, p = .132). CONCLUSIONS: Results support high rates of smoking with little change during pregnancy among opioid-dependent patients, regardless of the type of agonist medication received. These findings are consistent with evidence that suggests nicotine effects, and interactions may be similar for buprenorphine compared with methadone. The outcomes further highlight that aggressive efforts are needed to reduce/eliminate smoking in opioid-dependent pregnant women.
HubMed – Methadone
PXR Polymorphisms Interacted With CYP2B6 Polymorphisms on Methadone Metabolites.
J Clin Psychopharmacol. 2013 Feb; 33(1): 137-140
Tsai HJ, Wang SC, Tian JN, Chang TK, Ho IK, Hsiao CF, Chen CH, Tan HK, Lin L, Wu CS, Su LW, Huang CL, Yang YH, Liu ML, Lin KM, Liu YL
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