Medical, Nonmedical, and Illegal Stimulant Use by Sexual Identity and Gender.

Morgan M Philbin, Emily R Greene, Silvia S Martins, Natalie J LaBossier, Pia M Mauro
Author Information
  1. Morgan M Philbin: Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, New York. Electronic address: mp3243@columbia.edu.
  2. Emily R Greene: Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
  3. Silvia S Martins: Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
  4. Natalie J LaBossier: Boston University School of Medicine, Boston, Massachusetts.
  5. Pia M Mauro: Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.

Abstract

INTRODUCTION: Major knowledge gaps regarding medical and nonmedical prescription stimulant use and illegal stimulant use (i.e., cocaine/crack/methamphetamine) by sexual identity and gender have implications for individuals' health and well-being. This study improves stimulant use measurement by differentiating the type of stimulant use and focusing on lesbian, gay, and bisexual subpopulations.
METHODS: Data were pooled for adults in the 2015-2017 National Survey on Drug Use and Health (n=126,463; analyzed in 2019). Gender-stratified logistic regression models examined associations between sexual identity and past-year illegal stimulant use. Gender-stratified multinomial logistic regression models estimated odds of (1) medical use only versus no past-year prescription stimulant use, (2) any nonmedical stimulant use versus no past-year use, and (3) any nonmedical stimulant use versus medical use only.
RESULTS: Illegal stimulant use varied by sexual identity (men: gay, 9.2%; bisexual, 7.5%; heterosexual, 3.2%; women: gay/lesbian, 3.2%; bisexual, 7.8%; heterosexual, 1.5%), as did nonmedical prescription stimulant use. Relative to same-gender heterosexuals, gay (AOR=2.61, 95% CI=2.00, 3.40) and bisexual (AOR=1.70, 95% CI=1.24, 2.33) men had higher odds of past-year illegal stimulant use, as did gay/lesbian (AOR=1.63, 95% CI=1.16, 2.28) and bisexual (AOR=2.70, 95% CI=2.23, 3.26) women. Sexual minorities reported higher odds of nonmedical prescription stimulant use than heterosexuals. Any nonmedical prescription opioid use was reported by 26.4% of people who reported nonmedical stimulant use and 27.0% of people who reported illegal stimulant use.
CONCLUSIONS: Lesbian, gay, and bisexual individuals had a higher prevalence of stimulant use than their heterosexual counterparts. This has important implications for health disparities, especially given the high levels of polysubstance use. Taking a multilevel approach is crucial to reduce stimulant-related harms for lesbian, gay, and bisexual individuals.

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Grants

  1. K01 DA039804/United States
  2. K01 DA045224/United States
  3. L30 DA042436/United States
  4. R01 DA037866/United States

MeSH Term

Adult
Bisexuality
Female
Gender Identity
Heterosexuality
Homosexuality, Female
Humans
Male
Sexual and Gender Minorities

Word Cloud

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