1,613
Views
8
CrossRef citations to date
0
Altmetric
Viewpoint

The case for implementing the levels of prevention model: Opiate abuse on American college campuses

, MS, , PhD, , PhD, , MPH & , MS
Pages 518-524 | Received 06 Feb 2017, Accepted 23 Apr 2017, Published online: 20 Jul 2017
 

ABSTRACT

Opiate abuse in the United States is on the rise among the college student population. This public health crisis requires immediate action from professionals and stakeholders who are committed to addressing the needs of prospective, current, and recovering opiate users using comprehensive prevention methods. Such approaches have been used to deliver primary, secondary, and tertiary intervention to alcohol and other drug users but are underutilized in the case of opiate abuse among college students in the United States. There is a definite need for involving college campus faculty, staff, students, and others in efforts to prevent opiate abuse at all levels. Our recommendations include specific strategies to address this imminent issue using an innovative application of the traditional Levels of Prevention Model.

Conflict of interest disclosure

The authors have no conflicts of interest to report. The authors confirm that the research presented in this article met the ethical guidelines, including adherence to the legal requirements, of the United States and received approval from the Institutional Review Board of the University of Toledo.

Funding

No funding was used to support this research and/or the preparation of the manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 141.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.