Theft,Opioid Pills,Unemployment,and Insurance: A Longitudinal Analysis of American Counties in the Wake of the Opioids Crisis

Abstract

This study examines the relationships between prescription opioid pills, unemployment, health insurance, and theft. Covering the years 2006–2012, our data are an aggregate of information from the Drug Enforcement Administration, the Federal Bureau of Investigation’s National Incident-Based Reporting System, and the American Community Survey (ACS). The unit of analysis is time nested within counties. Preliminary results demonstrate that there were approximately 46 prescription opioid pills distributed per person annually in the United States between 2006 and 2012. Multivariate results reveal that counties with higher numbers of prescription opioid pills tend to experience significantly higher patterns of theft. Interestingly, health insurance is positively associated with theft while unemployment appears to protect against theft. The relationship between pills and theft is also conditioned by both unemployment and health insurance. Future research should explore these relationships to better inform efforts at making responsible social policy in the midst of the opioids crisis.

Keywords

opioid pills theft larceny unemployment health insurance

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References

Allison

P. D.

(1991). Logistic regression using the SAS system: Theory and application. SAS Institute.

Beyene

Aspden

Sheridan

(2016). Prescription medicine sharing: Exploring patients’ beliefs and experiences. Journal of Pharmaceutical Policy and Practice, 9, 23. https://doi.org/10.1186/s40545-016-0075-5

Beyene

Aspden

Sheridan

(2019). Using the behavior change wheel to explore potential strategies for minimising harms from non-recreational prescription medicine sharing. Research in Social and Administrative Pharmacy, 15(2), 130–144. https://doi.org/10.1016/j.sapharm.2018.04.001

Boman

I. V.

Smith

A. J.

Saxe

Righetti

Rony

Fan

Mowen

T. J.

(2020). Carbon capture, employment, and coming home from prison. Deviant Behavior. Advance online publication. https://doi.org/10.1080/01639625.2020.1783160

Bukten

Skurtveit

Gossop

Waal

Strangeland

Havnes

Clausen

(2011). Engagement with opioid maintenance treatment and reductions in crime: A longitudinal national cohort study. Addiction, 107(2), 393–399. https://doi.org/10.1111/j.1360-0443.2011.03637.x

Centers for Disease Control and Prevention. (2020). U.S. opioid dispensing rate maps. https://www.cdc.gov/drugoverdose/maps/rxrate-maps.html

Currie

Schwandt

(2020). The opioid epidemic was not caused by economic distress but by factors that could be more rapidly addressed. National Bureau of Economic Research. https://doi.org/10.3386/w27544

Dave

Deza

Horn

B. P.

(2021). Prescription drug monitoring programs, opioid abuse, and crime. Southern Economic Journal, 87(3), 808–848. https://doi.org/10.1002/soej.12481

Degenhardt

Conroy

Gilmour

Linette

(2005). The effect of a reduction in heroin supply in Australia upon drug distribution and acquisitive crime. British Journal of Criminology, 45(1), 2–24. https://doi.org/10.1093/bjc/azh096

10.

Doleac

J. L.

Mukherjee

(2019, March 31). The moral hazard of lifesaving innovations: Naloxone access, opioid abuse, and crime. https://doi.org/10.2139/ssrn.3135264

11.

Drug Enforcement Administration automated reports and consolidated ordering system. (2020). The Washington Post [Dataset]. https://www.deadiversion.usdoj.gov/arcos/retail_drug_summary/index.html

12.

Federal Bureau of Investigation. (2015). Table 24: Property stolen and recovered. Crime in the United States. https://ucr.fbi.gov/crime-in-the-u.s/2015/crime-in-the-u.s.-2015/tables/table-24

13.

Felson

R. B.

Staff

(2015). Committing economic crime for drug money. Crime & Delinquency, 63(4), 375–390. https://doi.org/10.1177%2F0011128715591696

14.

Florence

Luo

Zhou

(2016). The economic burden of prescription opioid overdose, abuse and dependence in the United States, 2013. Medical Care, 54(10), 901–906. https://doi.org/10.1097%2FMLR.0000000000000625

15.

Follow the post’s investigation of the epidemic. (2020, January 24). The Washington Post. https://www.washingtonpost.com/national/2019/07/20/opioid-files/?arc404=true

16.

Grigsby

T. J.

Howard

J. T.

(2019). Prescription opioid misuse and comorbid substance use: Past 30- day prevalence, correlates, and co-occurring behavioral indicators in the 2016 national survey on drug use and health. The American Journal on Addictions, 28(2), 111–118.

17.

Barkowski

(2020). The effect of health insurance on crime: Evidence from the Affordable Care Act Medicaid expansion. Health Economics, 29(3), 261–277.

18.

Hughes

L. A.

Schaible

L. M.

Jimmerson

(2020). Marijuana dispensaries and neighborhood crime and disorder in Denver, Colorado. Justice Quarterly, 37(3), 461–485. https://doi.org/10.1080/07418825.2019.1567807

19.

Jarvis

Parker

(1989). Young heroin users and crime: How do the “new users” finance their habits? British Journal of Criminology, 29(2), 175–185. https://doi.org/10.1111/ajad.12866

20.

Jennings

Perez

Delcher

Wang

(2020). Association between opioid prescribing rates and criminal justice outcomes. In Opioid prescribing rates and criminal justice and health outcomes (pp. 23–30). Springer. https://link-springer-com-443.web.bisu.edu.cn/chapter/10.1007/978-3-030-40764-3_4

21.

Kumpfer

K. L.

Alvarado

Whiteside

H. O.

(2003). Family-interventions for substance use and misuse prevention. Substance Use & Misuse, 38(11–13), 1759–1787. https://doi.org/10.1081/JA-120024240

22.

Lipari

R. N.

Hughes

(2017, January 12). How people obtain the prescription pain relievers they misuse. The CBHSQ Report. https://www.samhsa.gov/data/report/how-people-obtain-prescription-pain-relievers-they-misuse

23.

Maclean

J. C.

Mallatt

Ruhm

C. J.

Simon

(2020). Economic studies on the opioid crisis: A review. National Bureau of Economic Research. https://doi.org/10.3386/w28067

24.

Miller

Novak

S. P.

Galvin

D. M.

Spicer

R. S.

Cluff

Kasat

(2015). School and work status, drug-free workplace protections, and prescription drug misuse among Americans ages 15-25. Journal of Studies on Alcohol and Drugs, 76(2), 195–203. https://doi.org/10.15288/jsad.2015.76.195

25.

Mooney

C. Z.

Duval

R. D.

(1993). Bootstrapping: A nonparametric approach to statistical inference. Sage.

26.

Mott

(1986). Opioid use and burglary. British Journal of Addiction, 81(5), 671–677. https://doi.org/10.1111/j.1360-0443.1986.tb00387.x

27.

Mustaine

E. E.

Tewksbury

(1998). Predicting risks of larceny theft victimization: A routine activity analysis using refined lifestyle measures. Criminology, 36(4), 829–858. https://doi.org/10.1111/j.1745-9125.1998.tb01267.x

28.

National Archive of Criminal Justice Data. (2017). National incident-based reporting system [Dataset]. Inter-University Consortium for Political and Social Research. https://doi.org/10.3886/ICPSR04700.v2

29.

Perlmutter

A. S.

Conner

S. C.

Savone

Kim

J. H.

Segura

L. E.

Martins

S. S.

(2017). Is employment status in adults over 25 years old associated with nonmedical prescription opioid and stimulant use? Social Psychiatry and Psychiatric Epidemiology, 52(3), 291–298. https://doi.org/10.1007%2Fs00127-016-1312-6

30.

Rhodes

Wilson

Alysia

Hayden

J. A.

Asbridge

(2019). The effectiveness of prescription drug monitoring programs at reducing opioid-related harms and consequences: A systemic review. BMC Health Services Research, 19, Article 784. https://doi.org/10.1186/s12913-019-4642-8

31.

Sampson

R. J.

Laub

J. H.

(1993). Crime in the making: Pathways and turning points through life. Harvard University Press.

32.

Santoro

T. N.

Santoro

J. D.

(2018). Racial bias in the US opioid epidemic: A review of the history of systemic bias and implications for care. Cureus, 10(12), Article e3733. https://doi.org/10.7759/cureus.3733

33.

Staff

Uggen

(2003). The fruits of good work: Early work experiences and adolescent deviance. Journal of Research in Crime and Delinquency, 40(3), 263–290. https://doi.org/10.1177/0022427803253799

34.

Uggen

(2000). Work as a turning point in the life course of criminals: A duration model of age, employment, and recidivism. American Sociological Review, 65(4), 529–546.

35.

Uggen

Staff

(2001). Work as a turning point for criminal offenders. Corrections Management Quarterly, 5(4), 1–16. https://doi.org/10.2307/2657381

36.

U.S. Census Bureau. (2013). American community survey 5-year data (2008-2012) [Dataset]. https://www.census.gov/data/developers/data-sets/acs-5year.html

37.

U.S. Census Bureau. (2018). Health insurance coverage in the United States: 2017. https://www.census.gov/library/publications/2018/demo/p60-264.html

38.

U.S. Census Bureau. (2020). Census regions and divisions of the United States. https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf

39.

Velleman

R. D. B.

Templeton

L. J.

Copello

A. G.

(2005). The role of family in preventing and intervening with substance use and misuse: A comprehensive review of family interventions, with a focus on young people. Drug and Alcohol Review, 24(2), 93–109. https://doi.org/10.1080/09595230500167478

40.

Wen

Hockenberry

J. M.

Cummings

J. R.

(2017). The effect of Medicaid expansion on crime reduction: Evidence from HIFA-waiver expansions. Journal of Public Economics, 154, 67–94. https://doi.org/10.1016/j.jpubeco.2017.09.001

41.

Wendel

Dhondt

Curtis

Hamilton

(2016). “More drugs, less crime”: Why crime dropped in New York City, 1985-2007. Dialectical Anthropology, 40(4), 319–339. https://doi.org/10.1007/s10624-016-9410-0

42.

Wright

J. P.

Cullen

F. T.

(2004). Employment, peers, and life-course transitions. Justice Quarterly, 21(1), 193–205. https://doi.org/10.1080/07418820400095781