Written by Bijan Pirnia, Seyed Kazem Rasoulzadeh Tabatabaei, Abbas Tavallaii, Ali Akbar Soleimani, Kambiz Pirnia
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 11, November 2016
Introduction: Contingency management (CM) is one of the most common therapies in the domain of drug addiction. This study has been carried out with the purpose of evaluating the efficacy of contingency management intervention.
Method: In an experimental design, between December 15, 2014 and November 20, 2015, fifty men (between 18 and 31 with an average age of 24.6) with a history of cocaine use, were selected voluntarily and were randomly assigned into two groups of CM and control group. The CM group were awarded coupons for negative urine tests, over a period of twelve weeks. The urine tests were taken from the participants twice per week, with cutoff concentrations for positive set at 300 ng/ml and self-reporting index of cocaine craving (response rate = 96%) were evaluated in two phase, through pretest and posttest measures. The data were analyzed by parametric covariance test. Additionally, the qualitative data, resulted from demographic measures, were coded and were analyzed with the help of an analysis instrument of qualitative data i.e. ATLAS.ti-5.2.
Results: The primary outcome was the number of negative urine tests and the secondary outcome included the cocaine usage craving index over twelve weeks. The mean of (95% of confidence) number of negative cocaine urine tests was 15.4 (13.1–17.8) in the CM group and 19.7 (17.7–21.6) in the control group (P = 0.049). Also, results showed that CM has a significant effect on reducing craving (p<0.01).
Conclusion: The findings of this study, while having practical aspects in this domain, can be valuable in planning remedial procedures.
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Keywords: Behavioral therapy, Token economy, Craving, Psychotherapy, Contingency Management (CM)
Volume 12, Issue 4, October-December 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: