• Wesley G. Jennings
  • Nicholas Perez
  • Chris Delcher
  • Yanning Wang
Part of the SpringerBriefs in Criminology book series (BRIEFSCRIMINOL)


This book utilized county-level opioid prescribing data in California from 2012–2017 to examine opioid prescribing practices in various ways: it summarized the general trends in opioid prescribing in California counties, examined the association between community characteristics and the opioid prescribing rate at the county-level, estimated the associations between opioid prescribing rates and county-level arrest rates, and three county-level opioid-related public health outcomes. The current chapter highlights the main project findings and addresses the three research questions proposed in this book. Implications for policy and practice are also addressed, specifically suggesting the importance of continued data collection, better education in opioid prescribing, and the overall reduction of high-risk prescribing practices. Based on the results of this research, reductions to California’s county-level prescribing rates are predicted to reduce crime and adverse public health outcomes at the county-level. Overall, this project has indicated that the effects of the opioid crisis reach beyond public health and have significant consequences for the criminal justice system as well. As such, the reduction of opioid prescribing rates at the local level requires a multi-disciplinary approach to be most effective.


Opioids Drugs Substance use Prescriptions County-level 


  1. Aroke, H., Buchanan, A., Wen, X., Ragosta, P., Koziol, J., & Kogut, S. (2018). Estimating the direct costs of outpatient opioid prescriptions: A retrospective analysis of data from the Rhode Island prescription drug monitoring program. Journal of Managed Care & Specialty Pharmacy, 24(3), 214–224.CrossRefGoogle Scholar
  2. Birnbaum, H. G., White, A. G., Schiller, M., Waldman, T., Cleveland, J. M., & Roland, C. L. (2011). Societal costs of prescription opioid abuse, dependence, and misuse in the United States. Pain Medicine, 12(4), 657–667.CrossRefGoogle Scholar
  3. Chang, H. Y., Kharrazi, H., Bodycombe, D., Weiner, J. P., & Alexander, G. C. (2018). Healthcare costs and utilization associated with high-risk prescription opioid use: A retrospective cohort study. BMC Medicine, 16(1), 69–80.CrossRefGoogle Scholar
  4. NPR (2019). Your guide to the massive (and massively complex) opioid litigation. Retrieved from
  5. U.S. Centers for Disease Control and Prevention (2017a). Prescription opioid data. U.S. Department of Health and Human Services. Retrieved from
  6. U.S. Centers for Disease Control and Prevention (2017b). 2018 Annual surveillance report of drug-related risks and outcomes. U.S. Department of Health and Human Services. Retrieved from
  7. U.S. Department of Health and Human Services (2019). HHS guide for clinicians on the appropriate dosage reduction or discontinuation of long-term opioid analgesics. Retrieved from
  8. Zajac, G., Nur, S. A., Kreager, D. A., & Sterner, G. (2019). Estimated costs to the Pennsylvania criminal justice system resulting from the opioid crisis. The American Journal of Managed Care, 25(13), S250–S255.Google Scholar

Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wesley G. Jennings
    • 1
  • Nicholas Perez
    • 2
  • Chris Delcher
    • 3
  • Yanning Wang
    • 4
  1. 1.Department of Legal StudiesUniversity of MississippiUniversityUSA
  2. 2.School of Criminology, Criminal Justice, and Emergency ManagementCalifornia State University SystemLong BeachUSA
  3. 3.Department of Pharmacy Practice and ScienceUniversity of KentuckyLexingtonUSA
  4. 4.Department of Health Outcomes and Biomedical InformaticsUniversity of FloridaGainesvilleUSA

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