Perceptions of Harm and Reasons for Misuse of Prescription Opioid Drugs and Reasons for Not Seeking Treatment for Physical or Emotional Pain Among a Sample of College Students

References

• Aitken, M., Kleinrock, M., Lyle, J., & Caskey, L. (2014). Medicine use and shifting costs of healthcare: A review of the use of medicines in the United State in 2013. IMS Institute for Healthcare Informatics. Retrieved from http://www.imshealth.com/en/thought-leadership/ims-institute/reports/use-of-medicines-in-the-us-2013
   Google Scholar
• Arria, A. M., Caldeira, K. M., O'Grady, K. E., Vincent, K. B., Fitzelle, D. B., Johnson, E. P., & Wish, E. D. (2008). Drug exposure opportunities and use patterns among college students: Results of a longitudinal prospective cohort study. Substance Abuse, 29(4), 19–38.
   Google Scholar
• Arria, A. M., Caldeira, K. M., Vincent, K. B., O'Grady, K. E., & Wish, E. D. (2008). Perceived harmfulness predicts nonmedical use of prescription drugs among college students: Interactions with sensation-seeking. Prevention Science, (9),191–201. doi:10.1007/s11121-008-0095-8
   Google Scholar
• Cai, R., Crane, E., Poneleit, K., & Paulozzi, L. (2010). Emergency department visits involving nonmedical use of selected prescription drugs in the United States, 2004–2008. Journal of Pain & Palliative Care Pharmacotherapy, 24(3), 293–297.
   Google Scholar
• Centers for Disease Control and Prevention (CDC). (2010, June 18). Emergency department visits involving nonmedical use of selected prescription drugs: United States, 2004–2008. Morbidity and Mortality Weekly Report, 59(23), 705–709. Retrieved from http://www.cdc.gov/mmwr/pdf/wk/mm5923.pdf
   Google Scholar
• Centers for Disease Control and Prevention (CDC). (2011, November 11). CDC vital signs: Prescription painkiller overdoses in the US. Retrieved from http://www.cdc.gov/vitalsigns/pdf/2011-11-vitalsigns.pdf
   Google Scholar
• Centers for Disease Control and Prevention. (2012). Policy impact: Prescription painkiller overdoses. Retrieved from http://www.cdc.gov/homeandrecreationalsafety/rxbrief//index.html
   Google Scholar
• Corrigan, P. (2004). How stigma interferes with mental health care. American Psychologist, 59(7), 614–625.
   Google Scholar
• Corrigan, P., Mittal, D., Reaves, C. M., Haynes, T. F., Han, X., Morris, S., & Sullivan, G. (2014). Mental health stigma and primary health care decisions. Psychiatry Research, 218(1–2), 35–38.
   Google Scholar
• Cotto, J. H., Davis, E., Dowling, G. J., Elcano, J. C., Staton, A. B., & Weiss, S. R. B. (2010). Gender effects on drug use, abuse and dependency: An analysis of results from the national survey on drug use and health. Gender Medicine, 7(5), 402–413.
   Google Scholar
• Couper, M. P. (2001). The promises and perils of web surveys. In A. Westlake, W. Sykes, T. Manners, & M. Rigg (Eds.), The challenge of the internet. Proceedings of the ASC international conference on survey research methods (pp. 35–56). London, UK: Association for Survey Computing.
   Google Scholar
• Daniulaityte, R, Carlson, R. G., & Kenne, D. (2006). Initiation to pharmaceutical opioids and patterns of misuse: Preliminary qualitative findings obtained by the Ohio Substance Abuse Monitoring Network. Journal of Drug Issues, 36(4), 787–808.
   Google Scholar
• Deutskens, E., Ruyter, K. D., Wetzels, M., & Oosterveld, P. (2004). Response rate and response quality of internet-based surveys: An experimental study. Marketing Letters, 15(1), 21–36.
   Google Scholar
• Green, T. C., Black, R., Grimes Serrano, J. M., Budman, S. H., & Butler, S. F. (2011). Typologies of prescription opioid use in a large sample of adults assessed for substance abuse treatment. PLoS ONE, 6(11), e27244. doi:10.1371/journal.pone.0027244
   Google Scholar
• Groves, R. M. (2006). Nonresponse rates and nonresponse bias in household surveys, Public Opinion Quarterly, 70(5), 646–675.
   Google Scholar
• IBM Corp. 2013. IBM SPSS statistics for Windows, version 22.0. Armonk, NY: Author.
   Google Scholar
• Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (2003). Monitoring the future national survey results on drug use, 1975—2002 (Vol. 2: College students and adults ages 19–40). (NIH publication 03-5376). Bethesda: MD: National Institute on Drug Abuse.
   Google Scholar
• Johnston, L. D., O'Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2014). Monitoring the future national results on drug use: 1975–2013: Overview, key findings on adolescent drug use. Ann Arbor, MI: Institute for Social Research, The University of Michigan.
   Google Scholar
• Lankenau, S. E., Teti, M., Silva, K., Bloom, J. J., Harocopos, A., & Treese, M. (2012). Initiation into prescription opioid misuse amongst young injection drug users. International Journal of Drug Policy, 23(1), 37–44.
   Google Scholar
• Ling, W., Mooney, L., & Hillhouse, M. (2011). Prescription opioid abuse, pain and addiction: Clinical issues and implications. Drug and Alcohol Review, 30(3), 300–305.
   Google Scholar
• Manchikanti, L., Fellows, B., Ailinani, H., & Vidyasagar, P. (2010). Therapeutic use, abuse, and nonmedical use of opioids: A ten-source perspective. Pain Physician, 13, 401–435.
   Google Scholar
• Massey, D. S., & Tourangeau, R. (2013). Where do we go from here? Nonresponse and social measurement. The Annals of the American Academy of Political and Social Science, 645, 222–236.
   Google Scholar
• McCabe, S. E. (2002). Gender differences in collegiate risk factors for heavy episodic drinking. Journal of Studies on Alcohol, 63, 49–56.
   Google Scholar
• McCabe, S. E. (2008). Misperceptions of non-medical prescription drug use: A web survey of college students. Addictive Behaviors, 33, 713–724. doi:10.1016/j.addbeh.2007.12.008
   Google Scholar
• McCabe, S. E., & Boyd, C. J. (2005). Sources of prescription drugs for illicit use. Addictive Behaviors, 30(7), 1342–1350.
   Google Scholar
• McCabe, S. E., Boyd, C. J., & Teter, C. J. (2009). Subtypes of nonmedical prescription drug misuse. Drug and Alcohol Dependence, 102, 63–70.
   Google Scholar
• McCabe, S. E., Cranford, J. A., Boyd, C. J., & Teter, C. J. (2007). Motives, diversion and routes of administration associated with nonmedical use of prescription opioids. Addictive Behaviors, 32(3), 562–75.
   Google Scholar
• McCabe, S. E., Teter, C. J., Boyd, C. J., Knight, J. R., & Wechsler, H. (2005). Nonmedical use of prescription opioids among U.S. college students: Prevalence and correlates from a national survey. Addictive Behaviors, 30, 789–805. doi:10.1016/j.addbeh.2004.08.024
   Google Scholar
• Mohler-Kuo, M., Lee, J. E., & Wechsler, H. (2003). Trends in marijuana and other illicit drug use among college students; Results from 4 Harvard school of public health college alcohol study surveys: 1993–2001. Journal of American College Health, 52, 17–24.
   Google Scholar
• National Institue on Drug Abuse. (2013). Abuse of prescription (Rx) drugs affects young adults most. Retrieved from http://www.drugabuse.gov/related-topics/trends-statistics/infographics/abuse-prescription-rx-drugs-affects-young-adults-most
   Google Scholar
• Office of National Drug Control Policy. (2012). Friends and family are primary sources of abused prescription drugs. Retrieved from http://www.whitehouse.gov/blog/2012/04/25/friends-and-family-are-primary-sources-abused-prescription-drugs
   Google Scholar
• Paulozzi, L. J. (2012). Prescription drug overdoses: A review. Journal of Safety Research, 43(4), 283–289.
   Google Scholar
• Peavy, K. M., Banta-Green, C. J., Kingston, S., Hanrahan, M., Merrill, J. O., & Coffin, P. O. (2012). “Hooked on” prescription-type opiates prior to using heroin: Results from a survey of syringe exchange clients. Journal of Psychoactive Drugs, 44(3), 259–265.
   Google Scholar
• Peytchev, A. (2013). Consequences of survey nonresponse. The Annals of the American Academy of Political and Social Science, 645, 88–111.
   Google Scholar
• Rigg, K. K., & Ibanez, G. E. (2010). Motivations for non-medical prescription drug use: A mixed methods analysis. Journal of Substance Abuse Treatment, 39, 236–247.
   Google Scholar
• Shih, T., & Fan, X. (2008). Comparing response rates from web and mail surveys: A meta-analysis. Field Methods, 20(3), 249–271.
   Google Scholar
• Siegal, H. A., Carlson, R. G., Kenne, D. R., & Swora, M. G. (2003). Probable relationship between opioid abuse and heroin use. American Family Physician, 67(5), 942–945.
   Google Scholar
• Substance Abuse and Mental Health Services Administration (SAMHSA). (2010). The TEDS report: Substance abuse treatment admissions involving abuse of pain relievers: 1998 and 2008. Rockville, MD: U.S. Department of Health and Human Services, Office of Applied Studies.
   Google Scholar
• Substance Abuse and Mental Health Services Administration (SAMHSA). (2011). Results from the 2010 National Survey on Drug Use and Health: Summary of national findings. NSDUH Series H-41, HHS Publication No. (SMA) 11-4658. Rockville, MD: Author.
   Google Scholar
• Volkow, N. D. (2008). Scientific research on prescription drug abuse: Statement before the subcommittee on crime and drugs of the senate judiciary committee, 110th Congress, 2nd session. Retrieved from http://www.hhs.gov/asl/testify/2008/03/t20080312a.html
   Google Scholar
• Volkow, N. D., & McLellan, T. A. (2011). Curtailing diversion and abuse of opioid analgesics without jeopardizing pain treatment. Journal of the American Medical Association, 305, 346–347.
   Google Scholar
• Warner, M., Chen, L. H., & Makuc, D. M. (2009). Increase in fatal poisonings involving opioid analgesics in the United States, 1999-2006. National Center for Health Statistics Data Brief, 22. Retrieved from http://www.cdc.gov/nchs/data/databriefs/db22.pdf
   Google Scholar