Literature DB >> 18816331

Source of drugs for prescription opioid analgesic abusers: a role for the Internet?

Theodore J Cicero1, Christopher Neil Shores, Alethea G Paradis, Matthew S Ellis.   

Abstract

OBJECTIVE: There has been a sharp increase in the abuse of prescription opioid analgesics in the United States in the past decade. It has been asserted, particularly by several governmental and regulatory agencies, that the Internet has become a significant source of these drugs which may account to a great extent for the surge in abuse. We have studied whether this is correct.
DESIGN: We asked 1,116 prescription drug abusers admitted for treatment, through standardized questionnaires, where they obtained their drugs. We also attempted to purchase scheduled II and III drugs from a random sample of Internet sites offering such sales.
RESULTS: Dealers, friends or relatives, and doctors' prescriptions were listed as a source of drugs with equal frequency ( approximately 50-65%), with theft and forgery far behind at 20%. The Internet was mentioned by fewer than 6% of the total responders. Because these data suggest either lack of availability or that our sample has not yet realized that the Internet is a potential source, we attempted to purchase scheduled II and III opioids and the unscheduled opioid, tramadol, from a random sample of 10% of the sites listing such sales. We were unsuccessful in purchasing a single scheduled opioid analgesic, but found that tramadol, as an unscheduled drug, was freely available.
CONCLUSIONS: The assertion that the Internet has become a dangerous new avenue for the diversion of scheduled prescription opioid analgesics appears to be based on no empirical evidence and is largely incorrect.

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Year:  2008        PMID: 18816331     DOI: 10.1111/j.1526-4637.2007.00323.x

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


  14 in total

1.  An analysis of heavy utilizers of opioids for chronic noncancer pain in the TROUP study.

Authors:  Mark J Edlund; Bradley C Martin; Ming-Yu Fan; Jennifer Brennan Braden; Andrea Devries; Mark D Sullivan
Journal:  J Pain Symptom Manage       Date:  2010-06-25       Impact factor: 3.612

2.  Using behavioral economics to predict opioid use during prescription opioid dependence treatment.

Authors:  Matthew J Worley; Steven J Shoptaw; Warren K Bickel; Walter Ling
Journal:  Drug Alcohol Depend       Date:  2014-12-30       Impact factor: 4.492

Review 3.  Adverse effects of chronic opioid therapy for chronic musculoskeletal pain.

Authors:  Leslie J Crofford
Journal:  Nat Rev Rheumatol       Date:  2010-04       Impact factor: 20.543

4.  Trends in use of opioids for chronic noncancer pain among individuals with mental health and substance use disorders: the TROUP study.

Authors:  Mark J Edlund; Bradley C Martin; Andrea Devries; Ming-Yu Fan; Jennifer Brennan Braden; Mark D Sullivan
Journal:  Clin J Pain       Date:  2010-01       Impact factor: 3.442

5.  Data Sources Regarding the Nonmedical Use of Pharmaceutical Opioids in the United States.

Authors:  Teresa Schmidt; Amanuel Zimam; Alexandra Nielsen; Wayne Wakeland
Journal:  Rev Health Care       Date:  2014

6.  Prescription drugs purchased through the internet: who are the end users?

Authors:  James A Inciardi; Hilary L Surratt; Theodore J Cicero; Andrew Rosenblum; Candice Ahwah; J Elise Bailey; Richard C Dart; John J Burke
Journal:  Drug Alcohol Depend       Date:  2010-07-01       Impact factor: 4.492

7.  Medical and Non-Medical Opioid Use at the Intersection of Gender and Sexual Identity: Associations with State Medical Cannabis Law Status in a U.S. National Sample of Adults.

Authors:  Pia M Mauro; Morgan M Philbin; Emily R Greene; Melanie S Askari; Silvia S Martins
Journal:  Arch Sex Behav       Date:  2021-11-09

8.  Correlates of extramedical use of OxyContin versus other analgesic opioids among the US general population.

Authors:  Silvia S Martins; Carla L Storr; Hong Zhu; Howard D Chilcoat
Journal:  Drug Alcohol Depend       Date:  2008-08-15       Impact factor: 4.492

9.  Risk factors for incident nonmedical prescription opioid use and abuse and dependence: results from a longitudinal nationally representative sample.

Authors:  Cara Katz; Renée El-Gabalawy; Katherine M Keyes; Silvia S Martins; Jitender Sareen
Journal:  Drug Alcohol Depend       Date:  2013-02-09       Impact factor: 4.492

10.  Co-morbidity and utilization of medical services by pain patients receiving opioid medications: data from an insurance claims database.

Authors:  Theodore J Cicero; Gordon Wong; Yuhong Tian; Michael Lynskey; Alexandre Todorov; Keith Isenberg
Journal:  Pain       Date:  2009-04-10       Impact factor: 6.961

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