A Public Health Approach to Protecting Workers from Opioid Use Disorder and Overdose Related to Occupational Exposure, Injury, and Stress: APHA Policy Statement Number 202012, Issued October 24, 2020

1. Wilson, N, Kariisa, M, Seth, P, Smith, H IV, Davis, NL. Drug and opioid-involved overdose deaths—United States, 2017–2018. MMWR Morb Mortal Wkly Rep. 2020; 69:290–297.
Google Scholar | Crossref | Medline2. Woolf, SH, Schoomaker, H. Life expectancy and mortality rates in the United States, 1959–2017. JAMA. 2019; 322(20):1996–2016.
Google Scholar | Crossref | Medline3. Xu, JQ, Murphy, SL, Kochanek, KD, Arias, E. Mortality in the United States, 2018. Hyattsville, MD: National Center for Health Statistics; 2020.
Google Scholar4. National Census of Fatal Occupational Injuries in 2018 . Washington, DC: U.S. Bureau of Labor Statistics; 2019.
Google Scholar5. American Medical Association . Reports of increases in opioid-related overdose and other concerns during the COVID pandemic. Available at: https://www.ama-assn.org/system/files/2020-06/issue-brief-increases-in-opioid-related-overdose.pdf. Accessed February 6, 2020.
Google Scholar6. Hoffman, J. With meetings banned, millions struggle to stay sober on their own. Available at: https://www.nytimes.com/2020/03/26/health/coronavirus-alcoholics-drugs-online.html. Accessed February 6, 2020.
Google Scholar7. National Institute for Environmental Health Sciences Worker Training Program . The COVID-19 pandemic is fueling the opioid crisis. Available at: https://tools.niehs.nih.gov/wetp/public/hasl_get_blob.cfm?ID=12121. Accessed February 6, 2020.
Google Scholar8. Wolf, D. Real-time data are essential for COVID-19; they’re just as important for the opioid overdose crisis. Available at: https://www.statnews.com/2020/05/20/real-time-data-essential-for-opioid-overdose-crisis-as-for-covid-19/. Accessed February 6, 2020.
Google Scholar9. Case, A, Deaton, A. Mortality and morbidity in the 21st century. Brookings Pap Econ Act. 2017; 2017:397–476.
Google Scholar | Crossref | Medline10. Case, A, Deaton, A. Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century. Proc Natl Acad Sci U S A. 2015; 112(49):15078–15083.
Google Scholar | Crossref | Medline | ISI11. Hawkins, D, Roelofs, C, Laing, J, Davis, L. Opioid‐related overdose deaths by industry and occupation—Massachusetts, 2011–2015. Am J Ind Med. 2019; 62:815–825.
Google Scholar | Crossref | Medline12. Hawkins, D, Davis, L, Punnett, L, Kriebel, D. Disparities in the deaths of despair by occupation, Massachusetts, 2000–2015. J Occup Environ Med. 2020; 62(7):484–492.
Google Scholar | Crossref | Medline13. Dean, A, Kimmel, S. Free trade and opioid overdose death in the United States. SSM Popul Health. 2019; 8:100409.
Google Scholar | Crossref | Medline14. Venkataramani, AS, Bair, EF, O’Brien, RL, Tsai, AC. Association between automotive assembly plant closures and opioid overdose mortality in the United States: a difference-in-differences analysis. JAMA Intern Med. 2020; 180(2):254–262.
Google Scholar | Crossref | Medline15. Hollingsworth, A, Ruhm, CJ, Simon, K. Macroeconomic conditions and opioid abuse. J Health Econ. 2017; 56:222–233.
Google Scholar | Crossref | Medline16. The Opioid Crisis and the Black/African American Population: An Urgent Issue . Rockville, MD: Substance Abuse and Mental Health Services Administration; 2020.
Google Scholar17. Steege, AL, Baron, SL, Marsh, SM, Menendez, CC, Myers, JR. Examining occupational health and safety disparities using national data: a cause for continuing concern. Am J Ind Med. 2014; 57:527–538.
Google Scholar | Crossref | Medline18. Okechukwu, CA, Souza, K, Davis, KD, de Castro, AB. Discrimination, harassment, abuse, and bullying in the workplace: contribution of workplace injustice to occupational health disparities. Am J Ind Med. 2014; 57:573–586.
Google Scholar | Crossref | Medline19. Siqueira, CE, Gaydos, M, Monforton, C, et al. Effects of social, economic, and labor policies on occupational health disparities. Am J Ind Med. 2014; 57:557–572.
Google Scholar | Crossref | Medline20. Opioid-Related Overdose Deaths in Massachusetts by Industry and Occupation , 2011–2015. Boston, MA: Massachusetts Department of Public Health, Occupational Health Surveillance Program; 2018.
Google Scholar21. Dong, XS, Brooks, RD, Cain, CT. Prescription opioid use and associated factors among US construction workers. Am J Ind Med. 2020; 63:868–877.
Google Scholar | Crossref | Medline22. Becker, WC, Meghani, S, Tetrault, JM, Fiellin, DA. Racial/ethnic differences in reports of drug testing practices at the workplace level in the U.S. Am J Addict. 2014; 23:357–362.
Google Scholar | Crossref | Medline23. Double Jeopardy: COVID-19 and Behavioral Health Disparities for Black and Latino Communities in the U.S. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2020.
Google Scholar24. Saloner, B, McGinty, EE, Beletsky, L, et al. A public health strategy for the opioid crisis. Public Health Rep. 2018; 133(suppl 1):24S–34S.
Google Scholar | SAGE Journals25. Harduar Morano, L, Steege, AL, Luckhaupt, SE. Occupational patterns in unintentional and undetermined drug-involved and opioid-involved overdose deaths—United States, 2007–2012. MMWR Morb Mortal Wkly Rep. 2018; 67(33):925–930.
Google Scholar | Crossref | Medline26. Thumula, V, Liu, T-C. Correlates of Opioid Dispensing. Available at: https://www.wcrinet.org/images/uploads/files/wcri8394.pdf. Accessed February 6, 2020.
Google Scholar27. Webster, BS, Verma, SK, Gatchel, RJ. Relationship between early opioid prescribing for acute occupational low back pain and disability duration, medical costs, subsequent surgery and late opioid use. Spine. 2007; 32(19):2127–2132.
Google Scholar | Crossref | Medline | ISI28. Franklin, GM, Stover, BD, Turner, JA, Fulton-Kehoe, D, Wickizer, TM. Early opioid prescription and subsequent disability among workers with back injuries: the Disability Risk Identification Study cohort. Spine. 2008; 33(2):199–204.
Google Scholar | Crossref | Medline29. Ricci, JA, Stewart, WF, Chee, E, Leotta, C, Foley, K, Hochberg, MC. Back pain exacerbations and lost productive time costs in United States workers. Spine. 2006; 31(26):3052–3060.
Google Scholar | Crossref | Medline | ISI30. Franklin, G, Sabel, J, Jones, CM, et al. A comprehensive approach to address the prescription opioid epidemic in Washington State: milestones and lessons learned. Am J Public Health. 2015; 105(3):463–469.
Google Scholar | Crossref | Medline31. Applebaum, KM, Asfaw, A, O’Leary, PK, Busey, A, Tripodis, Y, Boden, LI. Suicide and drug‐related mortality following occupational injury. Am J Ind Med. 2019; 62(9):733–741.
Google Scholar | Crossref | Medline32. Burton, WN, Pransky, G, Conti, DJ, Chen, CY, Edington, DW. The association of medical conditions and presenteeism. J Occup Environ Med. 2004; 46(suppl 6):S38–S45.
Google Scholar | Crossref | Medline33. U.S. Department of Health and Human Services . QuickStats: age-adjusted percentage of adults aged ≥ 18 years who were never in pain, in pain some days, or in pain most days or every day in the past 6 months, by employment status—National Health Interview Survey, United States, 2016. MMWR Morb Mortal Wkly Rep. 2017;66(29):796.
Google Scholar34. Key Substance Use and Mental Health Indicators in the United States: Results from the 2018 National Survey on Drug Use and Health. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2019.
Google Scholar35. Council of Economic Advisers , Executive Office of the President. Council of Economic Advisers report: the underestimated cost of the opioid crisis. Washington, DC: Council of Economic Advisers; 2017.
Google Scholar36. Substance Abuse and Mental Health Services Administration. Results from the 2016 National Survey on Drug Use and Health: Summary of National Findings. Washington, DC: U.S. Department of Health and Human Services; 2017.
Google Scholar37. The Changing Organization of Work and the Safety and Health of Working People. Cincinnati, OH: National Institute for Occupational Safety and Health; 2002.
Google Scholar38. Farnacio, Y, Pratt, ME, Marshall, EG, Graber, JM. Are workplace psychosocial factors associated with work-related injury in the US workforce? National Health Interview Survey, 2010. J Occup Environ Med. 2017; 59(10):e164–e171.
Google Scholar | Crossref | Medline39. Lang, J, Ochsmann, E, Kraus, T, Lang, J. Psychosocial work stressors as antecedents of musculoskeletal problems: a systematic review and meta-analysis of stability-adjusted longitudinal studies. Soc Sci Med. 2012; 75(7):1163–1174.
Google Scholar | Crossref | Medline40. Landsbergis, P, Dobson, M, LaMontagne, A, Choi, B, Schnall, P, Baker, D. Occupational stress. In: Levy B, Wegman D, Baron S, Sokas R, eds. Occupational and Environmental Health. 7th ed. New York, NY: Oxford University Press; 2017:325–343.
Google Scholar41. Madsen, IEH, Nyberg, ST, Magnusson Hanson, LL. Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data. Psychol Med. 2017; 47(8):1342–1356.
Google Scholar | Crossref | Medline42. Choi, BK. Opioid use disorder, job strain, and high physical job demands in US workers. Int Arch Occup Environ Health. 2020; 93:577–588.
Google Scholar | Crossref | Medline43. Substance Abuse and Mental Health Services Administration. The Effects of Trauma on First Responders. Washington, DC: U.S. Department of Health and Human Services; 2018.
Google Scholar44. Workplace Violence in Healthcare . Washington, DC: Occupational Safety and Health Administration; 2015.
Google Scholar45. American Public Health Association . APHA letter of support for HR 1309, the Workplace Violence Prevention for Health Care and Social Services Workers Act. Available at: https://www.apha.org/-/media/files/pdf/advocacy/letters/2019/190416_workplace_violence.ashx?la=en&hash=9A72F39FC6F7A10D8C544C44E27B2011E4E71D22. Accessed February 6, 2020.
Google Scholar46. Howard, J. Nonstandard work arrangements and worker health and safety. Am J Ind Med. 2017; 60:1–10.
Google Scholar | Crossref | Medline47. Verkuil, B, Atasayi, S, Molendijk, M. Workplace bullying and mental health: a meta-analysis on cross-sectional and longitudinal data. PLoS One. 2015; 10(8):e0135225.
Google Scholar | Crossref | Medline48. State of Working America . Annual hours worked by married men and women age 25–54 with children, by income group, selected years, 1979–2010. Available at: http://www.stateofworkingamerica.org/chart/swa-income-table-2-17-annual-hours-work-married/. Accessed February 6, 2020.
Google Scholar49. Alterman, T, Luckhaupt, SE, Dahlhamer, JM, Ward, BW, Calvert, GM. Prevalence rates of work organization characteristics among workers in the U.S.: data from the 2010 National Health Interview Survey. Am J Ind Med. 2013; 56:647–659.
Google Scholar | Crossref | Medline | ISI50. Luckhaupt, SE, Tak, S, Calvert, GM. The prevalence of short sleep duration by industry and occupation in the National Health Interview Survey. Sleep. 2010; 33(2):149–159.
Google Scholar | Crossref | Medline51. Caruso, CC, Hitchcock, EM, Dick, RB, Russo, JM, Schmit, JM. Overtime and Extended Workshifts: Recent Findings on Injuries, Illnesses, and Health Behaviors. Washington, DC: U.S. Department of Health and Human Services; 2004.
Google Scholar52. Lipscomb, JA, Trinkoff, AM, Geiger-Brown, J, Brady, B. Work-schedule characteristics and reported musculoskeletal disorders of registered nurses. Scand J Work Environ Health. 2002; 28(6):394–401.
Google Scholar | Crossref | Medline | ISI53. U.S. Bureau of Labor Statistics . Occupational injuries and illnesses and fatal injuries profiles. Available at: https://data.bls.gov/gqt/InitialPage. Accessed February 6, 2020.
Google Scholar54. Reddy, GMM, Nisha, B, Prabhushankar, G, Vishwambhar, V. Musculoskeletal morbidity among construction workers: a cross-sectional community-based study. Indian J Occup Environ Med. 2016; 20(3):144–149.
Google Scholar | Crossref | Medline55. Delp, L, Mojtahedi, Z, Sheikh, H, Lemua, J. A legacy of struggle: the OSHA ergonomics standard and beyond, part II. New Solutions. 2014; 24(3):365–389.
Google Scholar | SAGE Journals56. Hersman, D. How the prescription drug crisis is impacting American employers. Available at: https://www.nsc.org/Portals/0/Documents/NewsDocuments/2017/Media-Briefing-National-Employer-Drug-Survey-Results.pdf. Accessed February 6, 2020.
Google Scholar57. National Academies of Sciences, Engineering, and Medicine . Medications for Opioid Use Disorder Save Lives. Washington, DC: National Academies Press; 2019.
Google Scholar58. Sohn, H. Racial and ethnic disparities in health insurance coverage: dynamics of gaining and losing coverage over the life-course. Popul Res Policy Rev. 2017; 36(2):181

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