These results suggest that buprenorphine treatment is as effective as methadone regarding effects on quality of life and withdrawal symptoms. Buprenorphine has the potential to reduce the harm caused by drug abuse. Further research is needed to determine if buprenorphine is more effective than methadone in particular subgroups of patients.

This study was conducted to compare long-term outcome effects on the quality of life (QOL) of oral methadone with sublingual buprenorphine maintenance treatment. The QOL status of opioid-dependent patients was assessed using the German version (“Berlin Quality of Life Profile”) of the Lancashire Quality of Life Profile. Physical symptoms were measured using the Opiate Withdrawal Scale (OWS). Urine tests were carried out randomly to detect additional consumption. In the first study period, 53 opioid-dependent subjects were enrolled and 25 could be reached after 3 years. The retention rate was 50% for methadone and 45% for buprenorphine (p = 0.786). Baseline values of the total sample (completers and noncompleters) QOL and somatic complaints did not show significant differences between the two treatment groups. QOL characteristics at 6 months of treatment of the buprenorphine completer and noncompleter groups differed significantly regarding job (p = 0.013), family, and total score of physical symptoms (p = 0.002), in which the completer group showed the more favorable values. Concerning physical symptoms at 36 months, logistic regression revealed significantly less stomach cramps (p = 0.037) and fatigue and tiredness (p = 0.034) in buprenorphine compared to the methadone. Moreover, the buprenorphine-maintained group showed significantly less additional consumption of benzodiazepines (p = 0.015) compared with methadone participants. It is concluded that opioid addicts improved their QOL and health status when treated with methadone or buprenorphine. In summary, regarding QOL and health status, the present data indicate that buprenorphine is also a useful long-term alternative for maintenance treatment of opioid-dependent patients.

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The present study was designed to obtain human data on the speed of intravenous (i.v.) injection of cocaine, heroin, and morphine as well as on the rate of onset of their subjective effects and their duration in order to improve the accuracy of animal and human experimental models of i.v. drug abuse. To that end, a questionnaire was submitted both to clients of a substitution therapy outpatient clinic and to members of the drug abuse research community. It was found that i.v. drug abusers injected cocaine, heroin, or morphine much faster and also experienced the drug effects much faster than assumed by the drug abuse researchers. The time course of the reemergence of craving was also greatly misjudged by the researchers. On the other hand, the i.v. drug users’ self-reports were internally consistent and corresponded well to data obtained in several different human behavioral laboratories. Interestingly, more than half of the i.v. drug users reported that injection speed was not important when injecting cocaine (57%), heroin (72%) or morphine (73%) under conditions that guarantee a maximum effect, suggesting that the rate of the rise in the brain concentration of a drug of abuse is less important for its reinforcing effect and, thus, for its abuse liability, than previously assumed, at least within the time frame of an i.v. drug injection.

It is becoming increasingly evident that genetic variants contribute to the development of opioid addiction. An elucidation of these genetic factors is crucial for a better understanding of this chronic disease and may help to develop novel therapeutic strategies. In recent years, several candidate genes were implicated in opioid dependence. However, most study findings have not been replicated and additional studies are required before reported associations can be considered robust. Thus, the major objective of this study was to replicate earlier findings and to identify new genetic polymorphisms contributing to the individual susceptibility to opioid addiction, respectively. Therefore, a candidate gene association study was conducted including 142 well-phenotyped long-term opioid addicts undergoing opioid maintenance therapy and 142 well-matched healthy controls. In both study groups, 24 single nucleotide polymorphisms predominantly located in pharmacogenetic candidate genes have been genotyped using an accurate mass spectrometry based method. The most significant associations with opioid addiction (remaining significant after adjustment for multiple testing) were observed for the rs948854 SNP in the galanin gene (GAL, p = 0.001) and the rs2236861 SNP in the delta opioid receptor gene (OPRD1, p = 0.001). Moreover, an association of the ATP binding cassette transporter 1 (ABCB1) variant rs1045642 and the Mu Opioid receptor (OPRM1) variant rs9479757 with opioid addiction was observed. The present study provides further support for a contribution of GAL and OPRD1 variants to the development of opioid addiction. Furthermore, our results indicate a potential contribution of OPRM1 and ABCB1 SNPs to the development of this chronic relapsing disease. Therefore it seems important that these genes are addressed in further addiction related studies.