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      Stigma as a Barrier to Substance Abuse Treatment Among Those With Unmet Need: An Analysis of Parenthood and Marital Status

      1 , 1
      Journal of Family Issues
      SAGE Publications

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          Abstract

          <p class="first" id="P1">Substance use (SU) stigma is one factor contributing to unmet need for SU treatment. Additionally, theory suggests that women and single parents who use substances experience enhanced stigma because they do not adhere to normative social expectations. This study examines differences in perceived stigma by gender and parenthood among those with unmet need for SU treatment using the 2003-2010 National Survey of Drug Use and Health ( <i>N</i> = 1,474). Results indicate that women are more likely to report stigma as a barrier to treatment compared with men, though the interaction between gender and parenthood is not significant. We find that married parents report the highest level of stigma. We situate our findings in past health-related stigma research. We suggest that these results shed a light on stigma, particularly as it relates to family status, as a contributing factor to differences regarding SU treatment utilization. Finally, we raise a provocative question concerning social status and anticipated stigma. </p>

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          Most cited references54

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          A Modified Labeling Theory Approach to Mental Disorders: An Empirical Assessment

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            Understanding Labeling Effects in the Area of Mental Disorders: An Assessment of the Effects of Expectations of Rejection

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              Substance abuse treatment entry, retention, and outcome in women: a review of the literature.

              This paper reviews the literature examining characteristics associated with treatment outcome in women with substance use disorders. A search of the English language literature from 1975 to 2005 using Medline and PsycInfo databases found 280 relevant articles. Ninety percent of the studies investigating gender differences in substance abuse treatment outcomes were published since 1990, and of those, over 40% were published since the year 2000. Only 11.8% of these studies were randomized clinical trials. A convergence of evidence suggests that women with substance use disorders are less likely, over the lifetime, to enter treatment compared to their male counterparts. Once in treatment, however, gender is not a significant predictor of treatment retention, completion, or outcome. Gender-specific predictors of outcome do exist, however, and individual characteristics and treatment approaches can differentially affect outcomes by gender. While women-only treatment is not necessarily more effective than mixed-gender treatment, some greater effectiveness has been demonstrated by treatments that address problems more common to substance-abusing women or that are designed for specific subgroups of this population. There is a need to develop and test effective treatments for specific subgroups such as older women with substance use disorders, as well as those with co-occurring substance use and psychiatric disorders such as eating disorders. Future research on effectiveness and cost-effectiveness of gender-specific versus standard treatments, as well as identification of the characteristics of women and men who can benefit from mixed-gender versus single-gender treatments, would advance the field.
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                Author and article information

                Journal
                Journal of Family Issues
                Journal of Family Issues
                SAGE Publications
                0192-513X
                1552-5481
                April 24 2015
                January 2018
                April 24 2015
                January 2018
                : 39
                : 1
                : 3-27
                Affiliations
                [1 ]University of Alabama at Birmingham, AL, USA
                Article
                10.1177/0192513X15581659
                657a8884-2892-4085-8fe3-7e0fda1a3db2
                © 2018

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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