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A National Portrait of Public Attitudes toward Opioid Use in the US: A Latent Class Analysis

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  • Suzan M. Walters

    (Department of Epidemiology, School of Global Public Health, New York University, New York, NY 10003, USA
    Center for Drug Use and HIV/HCV Research, New York, NY 10003, USA)

  • Weiwei Liu

    (Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA)

  • Phoebe Lamuda

    (Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA)

  • Jimi Huh

    (Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA)

  • Russell Brewer

    (Department of Medicine, University of Chicago, Chicago, IL 60637, USA)

  • O’Dell Johnson

    (Southern Public Health and Criminal Justice Research Center, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA)

  • Ricky N. Bluthenthal

    (Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA)

  • Bruce Taylor

    (Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA)

  • John A. Schneider

    (Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA
    Department of Medicine, University of Chicago, Chicago, IL 60637, USA)

Abstract

Background: Opioid overdose rates have steadily been increasing in the United States (US) creating what is considered an overdose death crisis. The US has a mixture of public health and punitive policies aimed to address opioid use and the overdose crisis, yet little is known about public opinion relating to opioid use and policy support. Understanding the intersection of public opinion about opioid use disorder (OUD) and policy can be useful for developing interventions to address policy responses to overdose deaths. Methods: A national sample of cross-sectional data from the AmeriSpeak survey conducted from 27 February 2020 through 2 March 2020 was analyzed. Measures included attitudes toward OUD and policy beliefs. Latent class analysis, a person-centered approach, was used to identify groups of individuals endorsing similar stigma and policy beliefs. We then examined the relationship between the identified groups (i.e., classes) and key behavioral and demographic factors. Results: We identified three distinct groups: (1) “High Stigma/High Punitive Policy”, (2) “High Stigma/Mixed Public Health and Punitive Policy”, and (3) “Low Stigma/High Public Health Policy”. People with higher levels of education had reduced odds of being in the “High Stigma/High Punitive Policy” group. Conclusion: Public health policies are most effective in addressing OUD. We suggest targeting interventions toward the “High Stigma/Mixed Public Health and Punitive Policy” group since this group already displays some support for public health policies. Broader interventions, such as eliminating stigmatizing messaging in the media and redacting punitive policies, could reduce OUD stigma among all groups.

Suggested Citation

  • Suzan M. Walters & Weiwei Liu & Phoebe Lamuda & Jimi Huh & Russell Brewer & O’Dell Johnson & Ricky N. Bluthenthal & Bruce Taylor & John A. Schneider, 2023. "A National Portrait of Public Attitudes toward Opioid Use in the US: A Latent Class Analysis," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4455-:d:1085604
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    References listed on IDEAS

    as
    1. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    2. Alexander C Tsai & Mathew V Kiang & Michael L Barnett & Leo Beletsky & Katherine M Keyes & Emma E McGinty & Laramie R Smith & Steffanie A Strathdee & Sarah E Wakeman & Atheendar S Venkataramani, 2019. "Stigma as a fundamental hindrance to the United States opioid overdose crisis response," PLOS Medicine, Public Library of Science, vol. 16(11), pages 1-18, November.
    3. Phelan, Jo C. & Link, Bruce G. & Dovidio, John F., 2008. "Stigma and prejudice: One animal or two?," Social Science & Medicine, Elsevier, vol. 67(3), pages 358-367, August.
    4. Langendam, M.W. & Van Brussel, G.H.A. & Coutinho, R.A. & Van Ameijden, E.J.C., 2001. "The impact of harm-reduction-based methadone treatment on mortality among heroin users," American Journal of Public Health, American Public Health Association, vol. 91(5), pages 774-780.
    5. Venkatram Ramaswamy & Wayne S. Desarbo & David J. Reibstein & William T. Robinson, 1993. "An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data," Marketing Science, INFORMS, vol. 12(1), pages 103-124.
    6. Meinhofer, Angélica & Witman, Allison E., 2018. "The role of health insurance on treatment for opioid use disorders: Evidence from the Affordable Care Act Medicaid expansion," Journal of Health Economics, Elsevier, vol. 60(C), pages 177-197.
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