Bringing Sex and Gender into Women's Substance Use Treatment Programs

2008 ◽  
Vol 43 (8-9) ◽  
pp. 1271-1273 ◽  
Author(s):  
Lorraine Greaves ◽  
Nancy Poole
2021 ◽  
pp. 108812
Author(s):  
Carmen L. Masson ◽  
Caravella McCuistian ◽  
Elana Straus ◽  
Sania Elahi ◽  
Maggie Chen ◽  
...  

2017 ◽  
Vol 47 (1-2) ◽  
pp. 51-67 ◽  
Author(s):  
Lincoln B. Sloas ◽  
Michael S. Caudy ◽  
Faye S. Taxman

With nearly 8.2% of Americans experiencing substance use disorders (SUDs), a need exists for effective SUD treatment and for strategies to assist treatment participants to complete treatment programs (Chandler, Fletcher, & Volkow, 2009). The purpose of the current research is to contribute to an emerging knowledge base about treatment readiness and its utility for predicting substance use treatment process performance measures. The study examines the relative salience of treatment readiness as a predictor of treatment engagement. Data are derived from adult cases included in the 2012 Global Appraisal of Individual Needs-Intake data set ( n = 5,443). Binary logistic regression was used to identify if treatment readiness predicts substance use treatment engagement. The findings of this study do not provide support for treatment readiness significantly predicting substance use treatment engagement. Further research is needed to better understand treatment engagement.


Author(s):  
Lorraine Greaves

Substance use and misuse is a significant global health issue that requires a sex- and gender-based analysis. Substance use patterns and trends are gendered: that is, women and men, girls and boys, and gender-diverse people often exhibit different rates of use of substances, reasons for use, modes of administration, and effects of use. Sex-specific effects and responses to substances are also important, with various substances affecting females and males differentially. Nevertheless, much research and practice in responding to substance use and misuse remains gender blind, ignoring the impacts of sex and gender on this important health issue. This special issue identifies how various aspects of sex and gender matter in substance use, illustrates the application of sex- and gender-based analyses to a range of substances, populations and settings, and assists in progressing sex and gender science in relation to substance use.


2020 ◽  
Vol 214 ◽  
pp. 108173
Author(s):  
Joseph Guydish ◽  
Kwinoja Kapiteni ◽  
Thao Le ◽  
Barbara Campbell ◽  
Erika Pinsker ◽  
...  

2019 ◽  
pp. 146801731986783 ◽  
Author(s):  
Margot T Davis ◽  
Maria Torres ◽  
AnMarie Nguyen ◽  
Maureen Stewart ◽  
Sharon Reif

10.2196/21814 ◽  
2020 ◽  
Vol 7 (10) ◽  
pp. e21814
Author(s):  
Michael Hsu ◽  
David K Ahern ◽  
Joji Suzuki

Due to the COVID-19 pandemic, many clinical addiction treatment programs have been required to transition to telephonic or virtual visits. Novel solutions are needed to enhance substance use treatment during a time when many patients are disconnected from clinical care and social support. Digital phenotyping, which leverages the unique functionality of smartphone sensors (GPS, social behavior, and typing patterns), can buttress clinical treatment in a remote, scalable fashion. Specifically, digital phenotyping has the potential to improve relapse prediction and intervention, relapse detection, and overdose intervention. Digital phenotyping may enhance relapse prediction through coupling machine learning algorithms with the enormous amount of collected behavioral data. Activity-based analysis in real time can potentially be used to prevent relapse by warning substance users when they approach locational triggers such as bars or liquor stores. Wearable devices detect when a person has relapsed to substances through measuring physiological changes such as electrodermal activity and locomotion. Despite the initial promise of this approach, privacy, security, and barriers to access are important issues to address.


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