A systematic review of sex differences in treatment outcomes among people with opioid use disorder receiving buprenorphine maintenance versus other treatment conditions

2019 ◽  
Vol 197 ◽  
pp. 168-182 ◽  
Author(s):  
Sara Ling ◽  
Remar Mangaoil ◽  
Kristin Cleverley ◽  
Beth Sproule ◽  
Martine Puts
2020 ◽  
Author(s):  
Navin Kumar ◽  
Benjamin A. Howell ◽  
Marcus Alexander ◽  
Patrick G. O'Connor

Abstract Background Although medications for opioid use disorder (MOUD) models are the most efficacious evidence-based treatment for opioid use disorder, there remains a high percentage of patients experiencing unfavorable treatment outcomes. Greater understanding of how social network support functions with respect to MOUD treatment outcomes may possibly increase treatment outcomes. Social network support are the kinds of support, such as assistance or help, that people receive from friends, family, peers and neighbors, paid or unpaid, in their social network. We aim to provide quality evidence to understand the role of social network support on MOUD treatment outcomes. Methods A systematic review of experimental and observational studies will be conducted. PubMed, MEDLINE, Embase, PsycINFO and Sociological Abstracts will be searched, updated to capture current literature. Primary outcomes will include adherence to MOUD, defined as continuation in or completion of an MOUD program; and opioid use, defined as the percentage of urine samples negative for opioids and/or self-reported drug use. The systematic review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Quality assessments will be conducted using criteria from the Cochrane Handbook. A narrative synthesis will be conducted for all included studies. Discussion This systematic review seeks to provide policymakers, administrators, practitioners and researchers with a systematic and reproducible strategy to query the literature around the role of social network support on MOUD treatment outcomes. Systematic review registration International Prospective Register for Systematic Reviews (PROSPERO), CRD42018095645.


2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Nitika Sanger ◽  
Meha Bhatt ◽  
Laura Zielinski ◽  
Stephanie Sanger ◽  
Hamnah Shahid ◽  
...  

2020 ◽  
Author(s):  
Navin Kumar ◽  
Benjamin A. Howell ◽  
Marcus Alexander ◽  
Patrick G. O'Connor

Abstract Background Although medications for opioid use disorder (MOUD) models are the most efficacious evidence-based treatment for opioid use disorder, there remains a high percentage of patients experiencing unfavorable treatment outcomes. Greater understanding of how social network support functions with respect to MOUD treatment outcomes may possibly improve treatment outcomes. Social network support are the kinds of support, such as assistance or help, that people receive from friends, family, peers and neighbors, paid or unpaid, in their social network. We aim to provide quality evidence to understand the role of social network support on MOUD treatment outcomes. Methods A systematic review of experimental and observational studies will be conducted. PubMed, MEDLINE, Embase, PsycINFO and Sociological Abstracts will be searched. Primary outcomes will include adherence to MOUD, defined as continuation in or completion of an MOUD program; and opioid use, defined as the percentage of urine samples negative for opioids and/or self-reported drug use. The systematic review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Quality assessments will be conducted using criteria from the Cochrane Handbook. A narrative synthesis will be conducted for all included studies. Discussion This systematic review seeks to provide policymakers, administrators, practitioners and researchers with a systematic and reproducible strategy to query the literature around the role of social network support on MOUD treatment outcomes. Systematic review registration International Prospective Register for Systematic Reviews (PROSPERO), CRD42018095645.


2020 ◽  
Vol 11 ◽  
Author(s):  
Nitika Sanger ◽  
Meha Bhatt ◽  
Nikhita Singhal ◽  
Balpreet Panesar ◽  
Alessia D’Elia ◽  
...  

2021 ◽  
pp. 107026
Author(s):  
Sarah Meshberg-Cohen ◽  
R. Ross MacLean ◽  
Ashley M. Schnakenberg Martin ◽  
Mehmet Sofuoglu ◽  
Ismene L. Petrakis

2021 ◽  
pp. 1-11
Author(s):  
MacKenzie R. Peltier ◽  
Mehmet Sofuoglu ◽  
Ismene L. Petrakis ◽  
Elina Stefanovics ◽  
Robert A. Rosenheck

Author(s):  
R. Ross MacLean ◽  
Suzanne Spinola ◽  
Gabriella Garcia-Vassallo ◽  
Mehmet Sofuoglu

2021 ◽  
Vol 219 ◽  
pp. 108459
Author(s):  
Thomas Santo ◽  
Gabrielle Campbell ◽  
Natasa Gisev ◽  
Lucy Thi Tran ◽  
Samantha Colledge ◽  
...  

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