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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: Drug Alcohol Depend. 2021 Apr 20;223:108706. doi: 10.1016/j.drugalcdep.2021.108706

Table 2.

A systematic review of quantitative studies investigating the intersection of gender and drug use stigma from the individual perspective (n = 13).

Individual Perspective of Stigma
# Author (Year) Study characteristics Participant characteristics Stigma-related variables Summary of results Quality Score
n Population Location Design Age Gender 4 Race/Ethnicity
28 Khuat (2015) 403 Women who inject drugs Hanoi& Ho Chi Minh City, Vietnam Cross-sectional survey design. Hanoi Mean: 32.8 HCMC Mean 27.3 100% women NR Asked participants 3 questions about how they perceived society viewed WWID. Over 80% of the sample agreed society viewed WWID to be worse than MWID and of “bad character.” Over half of the sample agreed society viewed female drug use as worse than sex work. 7
29 van Boekel (2016) 186 Individuals in treatment for substance use disorders. The Netherlands Cross-sectional survey design. Mean: 40.9 Range: 16–70 31.2% women, 67.7% men. NR The Dutch version of the Discrimination and Stigma Scale (DISC-12) assessed experienced and anticipated stigma. Gender did not significantly predict experienced or anticipated substance use stigma. 13
30 Rivera (2014) 132 People who inject drugs accessing syringe pharmacy Manhattan/the Bronx, New York US) Cross-sectional survey design. Mean: 42.7 19.9% women, 80.1% men. 55.3% Lantinx, 31.1% White/Other, 13.6% Black The Attitudes Towards Injection Drug Users Scale Gender was not significantly related to PWID-related stigma scores. 13
31 Wilson (2014) 236 Needle and syringe program clients Western Sydney, Australia Cross-sectional survey design. Mean: 39.0 34.3% women, 64.8% men, 0.8% trans gender 22% Aboriginal, 78% Non-Aboriginal Five items assessing perceived discrimination from NSP staff/health care workers. Perceived stigma and discrimination from general health workers was not correlated with gender or any injection outcome variables. 11
32 Crawford (2012) 647 Recently initiated people who inject drugs and PWUD (heroin, cocaine, crack) New York City, NY (US) Cross-sectional survey study. Median: 33 29.5% women, 70.5% men. 48.8% Black, 37.1% Hispanic, 14.1% White/Other Items assessing experiences of dis crimination for a variety of characteristics (including drug use) No significant gender differences in drug use discrimination. 12
33 Luoma (2009) 252 Adults in treatment for substance use related problems. United States Cross-sectional survey design. Mean: 30.5 Range: 18–63 42.1% women, 57.5% men. 7 % Caucasian, 12% Latinx, 7% Other, 4% African American, 4% Native American, 1% Asian/Pacific Islander Perceived Stigma of Addiction Scale (PSAS) Internalized Shame Scale (ISS) Internalized Stigma of Substance Abuse (ISSA) Stigma-Related Rejection Scale (SRS) - Adapted for substance use. Perceived stigma (PSAS scores) was not related to gender. 10
34 Semple (2007) 146 Heterosexual, HIV negative adult women who use meth. San Diego, CA (US) Cross-sectional survey design. Mean: 35.4 Range: 18–56 100% women 45.2% Caucasian, 30.8% African American, 13.7% Latina, & 10.3% Other Social stigma of meth use (14 items) Women who had higher depressive symptoms had higher scores on social stigma of meth use. 12
35 Semple (2005) 292 Heterosexual adults who use meth. san Diego, CA (US) Cross-sectional survey design. Mean: 37.8 27.7% women, 72.3% men. 54.8% Caucasian Three stigma scales developed for the study: (1) Expectations of rejection, (2) Experiences of rejection, & (3) Stigma coping strategies. Gender was not correlated with experiences or expectations of rejection. 11
36 Friedman (2016) 751 People who inject drugs, High-risk heterosexuals, & men who have sexwith men New York (US) Cross-sectional survey design. PWID Mean: 40.9 HRH Mean: 32.6 MSM Mean: 25.6 PWID: 44% women, 56% men. HRH: 48% women, 52% men, (4 trans participants not in anlyses) MSM: 100% men PWID: 54% Black, 57% Hispanic. HRH: 71% Black, 66% Hispanic. MSM: 56% Black, 54% Hispanic. Five items assessing perceived attacks on participant dignity, witnessing dignity attacks on others, characteristics participants were attacked for, reactions to dignity attacks, and who committed the dignity attack. 1% of PWID reported their dignity being attacked due to their gender - though MSM were more likely to report this than PWID. Also, 41% of dignity attacks for PWID came from mothers. And mothers were more likely to be reported as sources of dignity attacks for PWID than HRH or MSM. 13
37 Cama (2016) 102 People who inject drugs accessing an NSP Sydney, Australia Cross-sectional survey design. lean: 39.4 23% women, 75% men, 2% transgender NR Seven items from an adapted Internalized Stigma of Mental Illness (ISMI) Five items to assess perceptions of discriminatory treatment by staff at the NSP. Gender was not correlated with internalized stigma. 11
38 Semple (2009) 402 Heterosexual adults who use meth San Diego, CA (US) Cross-sectional survey design. Mean: 36.9 Range: 18–63 33% women, 67% men. 55% Caucasian, 29.9% African American, 15.1% Latinx 14 item social stigma scale comprised of two dimensions: (1) Culturally-induced expectations of rejection, and (2) experiences of rejection. In ethnicity by gender analyses - no significant gender differences in rejection were found. 10
39 Palamar (2012) 700 Adults United States Internet-based survey design. Mean: 29.3 69% women, 31% men. 67.1% White, 12.2% Hispanic, 9.1% Asian American, 7.3% Black, 4.3% Other 10-item Stigma of Drug Users Scale. Measures perceptions of public stigma towards users. Developed a pe ceiv d rejection anc secrecy scale: 2 %ctors - (1) perceived rejection and (2) secrecy (anticipated stigma) Older and male PWUD reported greater perceived rejection for substance use. There were no gender differences in secrecy regarding substance use. 12
40 Heath (2016) 440 Adult PWID Bangkok, Thailand Cross sectional survey design. Median: 38 19.5% women, 80.5% men. NR One item of health care avoidance: “Do you sometimes avoid accessing healthcare services because you are a drug user?” There were no gender differences in health care avoidance. 13
*

NR = Not Reported.