Original Research5 September 2017
    Author, Article and Disclosure Information
    Background:

    Despite the continuing epidemic of opioid misuse, data on the prevalence of prescription opioid use, misuse, and use disorders are limited.

    Objective:

    To estimate the prevalence of prescription opioid use, misuse, and use disorders and motivations for misuse among U.S. adults.

    Design:

    Survey.

    Setting:

    The 2015 National Survey on Drug Use and Health (NSDUH).

    Participants:

    72 600 eligible civilian, noninstitutionalized adults were selected for NSDUH, and 51 200 completed the survey interview.

    Measurements:

    Prescription opioid use, misuse, and use disorders.

    Results:

    Weighted NSDUH estimates suggested that, in 2015, 91.8 million (37.8%) U.S. civilian, noninstitutionalized adults used prescription opioids; 11.5 million (4.7%) misused them; and 1.9 million (0.8%) had a use disorder. Among adults with prescription opioid use, 12.5% reported misuse; of these, 16.7% reported a prescription opioid use disorder. The most commonly reported motivation for misuse was to relieve physical pain (63.4%). Misuse and use disorders were most commonly reported in adults who were uninsured, were unemployed, had low income, or had behavioral health problems. Among adults with misuse, 59.9% reported using opioids without a prescription, and 40.8% obtained prescription opioids for free from friends or relatives for their most recent episode of misuse.

    Limitation:

    Cross-sectional, self-reported data.

    Conclusion:

    More than one third of U.S. civilian, noninstitutionalized adults reported prescription opioid use in 2015, with substantial numbers reporting misuse and use disorders. Relief from physical pain was the most commonly reported motivation for misuse. Economic disadvantage and behavioral health problems may be associated with prescription opioid misuse. The results suggest a need to improve access to evidence-based pain management and to decrease excessive prescribing that may leave unused opioids available for potential misuse.

    Primary Funding Source:

    U.S. Department of Health and Human Services.

    References

    • 1. Han B Compton WM Jones CM Cai R Nonmedical prescription opioid use and use disorders among adults aged 18 through 64 years in the United States, 2003–2013. JAMA2015;314:1468-78. [PMID: 26461997] doi:10.1001/jama.2015.11859 CrossrefMedlineGoogle Scholar
    • 2. Compton WM Volkow ND Major increases in opioid analgesic abuse in the United States: concerns and strategies. Drug Alcohol Depend2006;81:103-7. [PMID: 16023304] CrossrefMedlineGoogle Scholar
    • 3. Compton WM Boyle M Wargo E Prescription opioid abuse: problems and responses. Prev Med2015;80:5-9. [PMID: 25871819] doi:10.1016/j.ypmed.2015.04.003 CrossrefMedlineGoogle Scholar
    • 4. Centers for Disease Control and Prevention. Wide-ranging Online Data for Epidemiologic Research (WONDER). 2017. Accessed at http://wonder.cdc.gov on 31 March 2017. Google Scholar
    • 5. Martins SS Fenton MC Keyes KM Blanco C Zhu H Storr CL Mood and anxiety disorders and their association with non-medical prescription opioid use and prescription opioid-use disorder: longitudinal evidence from the National Epidemiologic Study on Alcohol and Related Conditions. Psychol Med2012;42:1261-72. [PMID: 21999943] doi:10.1017/S0033291711002145 CrossrefMedlineGoogle Scholar
    • 6. Blanco C Iza M Schwartz RP Rafful C Wang S Olfson M Probability and predictors of treatment-seeking for prescription opioid use disorders: a national study. Drug Alcohol Depend2013;131:143-8. [PMID: 23306097] doi:10.1016/j.drugalcdep.2012.12.013 CrossrefMedlineGoogle Scholar
    • 7. Rigg KK Ibañez GE Motivations for non-medical prescription drug use: a mixed methods analysis. J Subst Abuse Treat2010;39:236-47. [PMID: 20667680] doi:10.1016/j.jsat.2010.06.004 CrossrefMedlineGoogle Scholar
    • 8. McCabe SE Boyd CJ Teter CJ Subtypes of nonmedical prescription drug misuse. Drug Alcohol Depend2009;102:63-70. [PMID: 19278795] doi:10.1016/j.drugalcdep.2009.01.007 CrossrefMedlineGoogle Scholar
    • 9. LeClair A Kelly BC Pawson M Wells BE Parsons JT Motivations for prescription drug misuse among young adults: considering social and developmental contexts. Drugs (Abingdon Engl)2015;22:208-16. [PMID: 26709337] MedlineGoogle Scholar
    • 10. Kelly BC Rendina HJ Vuolo M Wells BE Parsons JT Influences of motivational contexts on prescription drug misuse and related drug problems. J Subst Abuse Treat2015;48:49-55. [PMID: 25115134] doi:10.1016/j.jsat.2014.07.005 CrossrefMedlineGoogle Scholar
    • 11. Evans TI Liebling EJ Green TC Hadland SE Clark MA Marshall BDL Associations between physical pain, pain management, and frequency of nonmedical prescription opioid use among young adults: a sex-specific analysis. J Addict Med2017. [PMID: 28514234] doi:10.1097/ADM.0000000000000318 CrossrefMedlineGoogle Scholar
    • 12. McCabe SE Cranford JA Motivational subtypes of nonmedical use of prescription medications: results from a national study. J Adolesc Health2012;51:445-52. [PMID: 23084165] doi:10.1016/j.jadohealth.2012.02.004 CrossrefMedlineGoogle Scholar
    • 13. McCabe SE Boyd CJ Cranford JA Teter CJ Motives for nonmedical use of prescription opioids among high school seniors in the United States: self-treatment and beyond. Arch Pediatr Adolesc Med2009;163:739-44. [PMID: 19652106] doi:10.1001/archpediatrics.2009.120 CrossrefMedlineGoogle Scholar
    • 14. Substance Abuse and Mental Health Services Administration. National Survey on Drug Use and Health. 2017. Accessed at www.samhsa.gov/data/population-data-nsduh/reports?tab=38 on 22 May 2017. Google Scholar
    • 15. American Association for Public Opinion ResearchStandard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 8th ed. Lenexa, KS: American Association for Public Opinion Research; 2015:52-3. Google Scholar
    • 16. Hughes A, Williams MR, Lipari RN, Bose J, Copello EAP, Kroutil LA. Prescription drug use and misuse in the United States: results from the 2015 National Survey on Drug Use and Health. NSDUH Data Review. September 2016. Accessed at www.samhsa.gov/data/sites/default/files/NSDUH-FFR2-2015/NSDUH-FFR2-2015.htm on 14 November 2016. Google Scholar
    • 17. American Psychiatric AssociationDiagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1994. Google Scholar
    • 18. Shiffman S Waters A Hickcox M The Nicotine Dependence Syndrome Scale: a multidimensional measure of nicotine dependence. Nicotine Tob Res2004;6:327-48. [PMID: 15203807] CrossrefMedlineGoogle Scholar
    • 19. Grucza RA Abbacchi AM Przybeck TR Gfroerer JC Discrepancies in estimates of prevalence and correlates of substance use and disorders between two national surveys. Addiction2007;102:623-9. [PMID: 17309538] CrossrefMedlineGoogle Scholar
    • 20. Jordan BK Karg RS Batts KR Epstein JF Wiesen C A clinical validation of the National Survey on Drug Use and Health assessment of substance use disorders. Addict Behav2008;33:782-98. [PMID: 18262368] doi:10.1016/j.addbeh.2007.12.007 CrossrefMedlineGoogle Scholar
    • 21. Substance Abuse and Mental Health Services AdministrationReliability of Key Measures in the National Survey on Drug Use and Health. Office of Applied Studies Methodology Series M-8. HHS publication no. SMA 09-4425. Rockville: Substance Abuse and Mental Health Services Administration; 2010. Google Scholar
    • 22. Rubin DB Statistical matching using file concatenation with adjusted weights and multiple imputations. J Bus Econ Stat1986;4:87-94. Google Scholar
    • 23. Center for Behavioral Health Statistics and Quality. 2015 National Survey on Drug Use and Health. Methodological Resource Book Section 10: Editing and Imputation Report. Rockville: Substance Abuse and Mental Health Services Administration; 2017. Accessed at www.samhsa.gov/data/sites/default/files/NSDUHmrbEditImputation2015.pdf on 23 May 2017. Google Scholar
    • 24. Research Triangle InstituteSUDAAN [computer program]. Release 11.0.1. Research Triangle Park, NC: RTI International; 2015. Google Scholar
    • 25. Center for Behavioral Health Statistics and Quality. 2015 National Survey on Drug Use and Health. Methodological Resource Book Section 11: Person-Level Sampling Weight Calibration. Rockville: Substance Abuse and Mental Health Services Administration; 2017. Accessed at www.samhsa.gov/data/sites/default/files/NSDUHmrbSamplingWgt2015.pdf on 23 May 2017. Google Scholar
    • 26. Institute of MedicineRelieving Pain in America: A Blueprint for Transforming Prevention, Care, Education, and Research. Washington, DC: National Academies Pr; 2011. Google Scholar
    • 27. Dowell D Haegerich TM Chou R CDC guideline for prescribing opioids for chronic pain—United States, 2016. JAMA2016;315:1624-45. [PMID: 26977696] doi:10.1001/jama.2016.1464 CrossrefMedlineGoogle Scholar
    • 28. Chou R, Deyo R, Devine B, Hansen R, Sullivan S, Jarvik JG, et al. The Effectiveness and Risks of Long-Term Opioid Treatment of Chronic Pain. Evidence Reports/Technology Assessments no. 218. Report no. 14-E005-EF. Rockville: Agency for Healthcare Research and Quality; 2014. Accessed at www.ahrq.gov/research/findings/evidence-based-reports/opoidstp.html on 3 December 2016. Google Scholar
    • 29. Blanco C Wall MM Okuda M Wang S Iza M Olfson M Pain as a predictor of opioid use disorder in a nationally representative sample. Am J Psychiatry2016;173:1189-95. [PMID: 27444794] CrossrefMedlineGoogle Scholar
    • 30. Barth KS Maria MM Lawson K Shaftman S Brady KT Back SE Pain and motives for use among non-treatment seeking individuals with prescription opioid dependence. Am J Addict2013;22:486-91. [PMID: 23952895] doi:10.1111/j.1521-0391.2013.12038.x CrossrefMedlineGoogle Scholar
    • 31. Jones CM Paulozzi LJ Mack KA Sources of prescription opioid pain relievers by frequency of past-year nonmedical use United States, 2008–2011. JAMA Intern Med2014;174:802-3. [PMID: 24589763] CrossrefMedlineGoogle Scholar
    • 32. American Society of Addiction Medicine. Congress passes CARA! ASAM applauds passage of historic addiction legislation. 13 July 2016. Accessed at www.asam.org/magazine/read/article/2016/07/13/congress-passes-cara!-asam-applauds-passage-of-historic-addiction-legislation on 3 December 2016. Google Scholar
    • 33. Patrick SW Fry CE Jones TF Buntin MB Implementation of prescription drug monitoring programs associated with reductions in opioid-related death rates. Health Aff (Millwood)2016;35:1324-32. [PMID: 27335101] doi:10.1377/hlthaff.2015.1496 CrossrefMedlineGoogle Scholar
    • 34. Chou R Turner JA Devine EB Hansen RN Sullivan SD Blazina I et alThe effectiveness and risks of long-term opioid therapy for chronic pain: a systematic review for a National Institutes of Health Pathways to Prevention Workshop. Ann Intern Med2015;162:276-86. [PMID: 25581257]. doi:10.7326/M14-2559 LinkGoogle Scholar
    • 35. Hwang CS Kang EM Kornegay CJ Staffa JA Jones CM McAninch JK Trends in the concomitant prescribing of opioids and benzodiazepines, 2002–2014. Am J Prev Med2016;51:151-60. [PMID: 27079639] doi:10.1016/j.amepre.2016.02.014 CrossrefMedlineGoogle Scholar
    • 36. Inciardi JA Surratt HL Lugo Y Cicero TJ The diversion of prescription opioid analgesics. Law Enforc Exec Forum2007;7:127-41. [PMID: 25267926] MedlineGoogle Scholar
    • 37. Compton WM Jones CM Baldwin GT Relationship between nonmedical prescription-opioid use and heroin use. N Engl J Med2016;374:154-63. [PMID: 26760086] doi:10.1056/NEJMra1508490 CrossrefMedlineGoogle Scholar
    • 38. Jones CM Heroin use and heroin use risk behaviors among nonmedical users of prescription opioid pain relievers—United States, 2002–2004 and 2008–2010. Drug Alcohol Depend2013;132:95-100. [PMID: 23410617] doi:10.1016/j.drugalcdep.2013.01.007 CrossrefMedlineGoogle Scholar
    • 39. Jones CM Lurie P Woodcock J Addressing prescription opioid overdose: data support a comprehensive policy approach. JAMA2014;312:1733-4. [PMID: 25275855] doi:10.1001/jama.2014.13480 CrossrefMedlineGoogle Scholar
    • 40. Harris K Curtis J Larsen B Calder S Duffy K Bowen G et alOpioid pain medication use after dermatologic surgery: a prospective observational study of 212 dermatologic surgery patients. JAMA Dermatol2013;149:317-21. [PMID: 23682368] CrossrefMedlineGoogle Scholar
    • 41. Bates C Laciak R Southwick A Bishoff J Overprescription of postoperative narcotics: a look at postoperative pain medication delivery, consumption and disposal in urological practice. J Urol2011;185:551-5. [PMID: 21168869] doi:10.1016/j.juro.2010.09.088 CrossrefMedlineGoogle Scholar
    • 42. Blanco C Rafful C Wall MM Jin CJ Kerridge B Schwartz RP The latent structure and predictors of non-medical prescription drug use and prescription drug use disorders: a national study. Drug Alcohol Depend2013;133:473-9. [PMID: 23962421] doi:10.1016/j.drugalcdep.2013.07.011 CrossrefMedlineGoogle Scholar
    • 43. Larochelle MR Liebschutz JM Zhang F Ross-Degnan D Wharam JF Opioid prescribing after nonfatal overdose and association with repeated overdose: a cohort study. Ann Intern Med2016;164:1-9. [PMID: 26720742]. doi:10.7326/M15-0038 LinkGoogle Scholar
    • 44. Gwira Baumblatt JA Wiedeman C Dunn JR Schaffner W Paulozzi LJ Jones TF High-risk use by patients prescribed opioids for pain and its role in overdose deaths. JAMA Intern Med2014;174:796-801. [PMID: 24589873] CrossrefMedlineGoogle Scholar
    • 45. Ferguson KM Bender K Thompson SJ Gender, coping strategies, homelessness stressors, and income generation among homeless young adults in three cities. Soc Sci Med2015;135:47-55. [PMID: 25942470] doi:10.1016/j.socscimed.2015.04.028 CrossrefMedlineGoogle Scholar
    • 46. Saloner B Bandara SN McGinty EE Barry CL Justice-involved adults with substance use disorders: coverage increased but rates of treatment did not in 2014. Health Aff (Millwood)2016;35:1058-66. [PMID: 27269023] doi:10.1377/hlthaff.2016.0005 CrossrefMedlineGoogle Scholar
    • 47. Compton WM Dawson D Duffy SQ Grant BF The effect of inmate populations on estimates of DSM-IV alcohol and drug use disorders in the United States [Letter]. Am J Psychiatry2010;167:473-4. [PMID: 20360330] doi:10.1176/appi.ajp.2009.09081087 CrossrefMedlineGoogle Scholar