Methadone Treatment: Slow-Release Oral Morphine as Maintenance Therapy for Opioid Dependence.

Slow-release oral morphine as maintenance therapy for opioid dependence.

Cochrane Database Syst Rev. 2013 Jun 5; 6: CD009879
Ferri M, Minozzi S, Bo A, Amato L

BACKGROUND: Opioid substitution treatments are effective in retaining people in treatment and suppressing heroin use. An open question remains whether slow-release oral morphine (SROM) could represent a possible alternative for opioid-dependent people who respond poorly to other available maintenance treatments. OBJECTIVES: To evaluate the efficacy of SROM as an alternative maintenance pharmacotherapy for the treatment of opioid dependence. SEARCH METHODS: We searched Cochrane Drugs and Alcohol Group’s Register of Trials, Cochrane Central Register of Controlled Trials (CENTRAL – The Cochrane Library Issue 3, 2013), MEDLINE (January 1966 to April 2013), EMBASE (January 1980 to April 2013) and reference lists of articles. SELECTION CRITERIA: Randomised controlled trials (RCTs) and quasi-randomised trials assessing efficacy of SROM compared with other maintenance treatment or no treatment. DATA COLLECTION AND ANALYSIS: Two review authors independently selected articles for inclusion, extracted data and assessed risk of bias of included studies. MAIN RESULTS: Three studies with 195 participants were included in the review. Two were cross-over trials and one was a parallel group RCT. The retention in treatment appeared superior to 80% in all the three studies (without significant difference with controls). Nevertheless, it has to be underlined that the studies had different durations. One lasted six months, and the other two lasted six and seven weeks. The use of opioids during SROM provision varied from lower to non-statistically or clinically different from comparison interventions, whereas there were no differences as far as the use of other substances was concerned.SROM seemed to be equal to comparison interventions for severity of dependence, or mental health/social functioning, but there was a trend for less severe opiate withdrawal symptoms in comparison with methadone (withdrawal score 2.2 vs. 4.8, P value = 0.06). Morphine was generally well tolerated and was preferred by a proportion of participants (seven of nine people in one study). Morphine appeared to reduce cravings, depressive symptoms (measured using the Beck Depression Inventory; P value < 0.001), physical complaints (measured using the Beschwerde-Liste (BL); P value < 0.001) and anxiety symptoms (P value = 0.008). Quality of life in people treated with SROM resulted in no significant difference or a worst outcome than in those taking methadone and buprenorphine. Other social functioning measures, such as finances, family and overall satisfaction, scored better in people maintained with the comparison substances than in those maintained with SROM. In particular, people taking methadone showed more favourable values for leisure time (5.4 vs. 3.7, P value < 0.001), housing (6.1 vs. 4.7, P value < 0.023), partnerships (5.7 vs. 4.2, P value = 0.034), friend and acquaintances (5.6 vs. 4.4, P value = 0.003), mental health (5.0 vs. 3.4, P value = 0.002) and self esteem (8.2 vs. 5.7, P value = 0.002) compared to people taking SROM; while people taking buprenorphine obtained better scores for physical health.Medical adverse events were consistently higher in people in SROM than in the comparison groups. None of the studies included people with a documented poor response to other maintenance treatment. AUTHORS' CONCLUSIONS: The present review did not identify sufficient evidence to assess the effectiveness of SROM for opioid maintenance because only three studies meeting our inclusion criteria have been identified. Two studies suggested a possible reduction of opioid use in people taking SROM. In another study, the use of SROM was associated with fewer depressive symptoms. Retention in treatment was not significantly different among compared interventions while the adverse effects were more frequent with the people given SROM. HubMed – Methadone

 

[Pharmacogenetics and the treatment of addiction].

Ned Tijdschr Geneeskd. 2013; 157(23): A5725
Schellekens A

– This article describes the current scientific knowledge regarding pharmacogenetic predictors of treatment outcome for substance-dependent patients.- PubMed was searched for articles on pharmacogenetics and addiction. This search yielded 53 articles, of which 27 were selected.- The most promising pharmacogenetic findings are related to the treatment of alcohol dependence. Genetic variation in the µ-opioid receptor (OPRM1) and the serotonin transporter (5-HTTLPR) appear to be associated with treatment outcomes for naltrexone and ondansetron, respectively. – Genetic variation in CYP2D6 is related to efficacy of methadone treatment for opiate dependence. – Pharmacogenetics may help explain the great inter-individual variation in treatment response. In the future, treatment matching, based on genetic characteristics of individual patients, could lead to a ‘personalized medicine’ approach. Pharmacogenetic matching of naltrexone in alcohol-dependent carriers of the OPRM1 G-allele currently seems most promising.
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Buprenorphine/Naloxone and Methadone Maintenance Treatment Outcomes for Opioid Analgesic, Heroin, and Combined Users: Findings From Starting Treatment With Agonist Replacement Therapies (START).

J Stud Alcohol Drugs. 2013 Jul; 74(4): 605-13
Potter JS, Marino EN, Hillhouse MP, Nielsen S, Wiest K, Canamar CP, Martin JA, Ang A, Baker R, Saxon AJ, Ling W

ABSTRACT. Objective: The objective of this secondary analysis was to explore differences in baseline clinical characteristics and opioid replacement therapy treatment outcomes by type (heroin, opioid analgesic [OA], or combined [heroin and OA]) and route (injector or non-injector) of opioid use. Method: A total of 1,269 participants (32.2% female) were randomized to receive one of two study medications (methadone or buprenorphine/naloxone [BUP]). Of these, 731 participants completed the 24-week active medication phase. Treatment outcomes were opioid use during the final 30 days of treatment (among treatment completers) and treatment attrition. Results: Non-opioid substance dependence diagnoses and injecting differentiated heroin and combined users from OA users. Non-opioid substance dependence diagnoses and greater heroin use differentiated injectors from non-injectors. Further, injectors were more likely to be using at end of treatment compared with non-injectors. OA users were more likely to complete treatment compared with heroin users and combined users. Non-injectors were more likely than injectors to complete treatment. There were no interactions between type of opioid used or injection status and treatment assignment (methadone or BUP) on either opioid use or treatment attrition. Conclusions: Findings indicate that substance use severity differentiates heroin users from OA users and injectors from non-injectors. Irrespective of medication, heroin use and injecting are associated with treatment attrition and opioid misuse during treatment. These results have particular clinical interest, as there is no evidence of superiority of BUP over methadone for treating OA users versus heroin users. (J. Stud. Alcohol Drugs, 74, 605-613, 2013).
HubMed – Methadone

 

Trends in Laboratory Test Volumes for Medicare Part B Reimbursements, 2000-2010.

Arch Pathol Lab Med. 2013 Jun 5;
Shahangian S, Alspach TD, Astles JR, Yesupriya A, Dettwyler WK

Context.-Changes in reimbursements for clinical laboratory testing may help us assess the effect of various variables, such as testing recommendations, market forces, changes in testing technology, and changes in clinical or laboratory practices, and provide information that can influence health care and public health policy decisions. To date, however, there has been no report, to our knowledge, of longitudinal trends in national laboratory test use. Objective.-To evaluate Medicare Part B-reimbursed volumes of selected laboratory tests per 10?000 enrollees from 2000 through 2010. Design.-Laboratory test reimbursement volumes per 10?000 enrollees in Medicare Part B were obtained from the Centers for Medicare & Medicaid Services (Baltimore, Maryland). The ratio of the most recent (2010) reimbursed test volume per 10?000 Medicare enrollees, divided by the oldest data (usually 2000) during this decade, called the volume ratio, was used to measure trends in test reimbursement. Laboratory tests with a reimbursement claim frequency of at least 10 per 10?000 Medicare enrollees in 2010 were selected, provided there was more than a 50% change in test reimbursement volume during the 2000-2010 decade. We combined the reimbursed test volumes for the few tests that were listed under more than one code in the Current Procedural Terminology (American Medical Association, Chicago, Illinois). A 2-sided Poisson regression, adjusted for potential overdispersion, was used to determine P values for the trend; trends were considered significant at P < .05. Results.-Tests with the greatest decrease in reimbursement volumes were electrolytes, digoxin, carbamazepine, phenytoin, and lithium, with volume ratios ranging from 0.27 to 0.64 (P < .001). Tests with the greatest increase in reimbursement volumes were meprobamate, opiates, methadone, phencyclidine, amphetamines, cocaine, and vitamin D, with volume ratios ranging from 83 to 1510 (P < .001). Conclusions.-Although reimbursement volumes increased for most of the selected tests, other tests exhibited statistically significant downward trends in annual reimbursement volumes. The observed changes in reimbursement volumes may be explained by disease prevalence and severity, patterns of drug use, clinical or laboratory practices, and testing recommendations and guidelines, among others. These data may be useful to policy makers, health systems researchers, laboratory directors, and industry scientists to understand, address, and anticipate trends in laboratory testing in the Medicare population. HubMed – Methadone

 


 

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