The Vicodin abuse problem: A mathematical approach

Wendy K. Caldwell, Benjamin Freedman, Luke Settles, Michael M. Thomas, Erika T. Camacho, Stephen Wirkus

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The prescription drug epidemic in the United States has gained attention in recent years. Vicodin, along with its generic version, is the country's mostly widely prescribed pain reliever, and it contains a narcotic component that can lead to physical and chemical dependency. The majority of Vicodin abusers were first introduced via prescription, unlike other drugs which are often experienced for the first time due to experimentation. Most abusers report obtaining their supply from a prescription, either their own or someone else's. Although the problem with prescription drug abuse is well known, there is no standard method of addressing the problem. To better understand how to do this, we develop and analyze a mathematical model of Vicodin use and abuse, considering only those patients who were initially prescribed the drug. Through global sensitivity analysis, we show that focusing efforts on abuse prevention rather than treatment has greater success at reducing the population of Vicodin abusers. Our results demonstrate that relying solely on rehabilitation and other treatment programs is not enough to combat the prescription drug problem in the United States. We anticipate that implementing preventative measures in both prescribers and patients will reduce the number of Vicodin abusers.

Original languageEnglish (US)
Article number110003
JournalJournal of Theoretical Biology
Volume483
DOIs
StatePublished - Dec 21 2019

Keywords

  • Compartmental model
  • Prescription drug abuse
  • Sensitivity analysis
  • Vicodin abuse

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Applied Mathematics

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