Evidence map›Paper›PMID 20227199›Full record

ArticleDrug and alcohol dependence2010

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

James A Inciardi, Hilary L Surratt, Theodore J Cicero, Andrew Rosenblum, Candice Ahwah, J Elise Bailey, Richard C Dart, John J Burke

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. The extent of use of online pharmacies in Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Key Data Gaps Regarding the Public Health Issues Associated with Opioid Analgesics.The journal of behavioral health services & research · 2015
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Crowdsourcing black market prices for prescription opioids.Journal of medical Internet research · 2013
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

James A InciardiCenter for Drug & Alcohol Studies, University of Delaware, Coral Gables, FL 33134, United States.
Hilary L Surratt
Theodore J Cicero
Andrew Rosenblum
Candice Ahwah
J Elise Bailey
Richard C Dart
John J Burke

Funding

Prescription Drug Abuse Among Club Drug UsersR01DA019048 · NIDA · UNIVERSITY OF DELAWARE · PI KURTZ, STEVEN P · 2005 to 2014
$5.6M
Understanding the Scope and Magnitude of Prescription Drug DiversionR01DA021330 · NIDA · UNIVERSITY OF DELAWARE · PI KURTZ, STEVEN P · 2007 to 2010
$2.5M
NIDA NIH HHS R01 DA019048NIDA NIH HHS R01 DA021330
6 · The paper itself

Abstract

Although prescription drugs are readily available on the Internet, little is known about the prevalence of Internet use for the purchase of medications without a legitimate prescription, and the characteristics of those that obtain non-prescribed drugs through online sources. The scientific literature on this topic is limited to anecdotal reports or studies plagued by small sample sizes. Within this context, the focus of this paper is an examination of five national data sets from the U.S. with the purpose of estimating: (1) how common obtaining prescription medications from the Internet actually is, (2) who are the typical populations of "end users" of these non-prescribed medications, and (3) which drugs are being purchased without a prescription. Three of the data sets are drawn from the RADARS (Researched Abuse Diversion and Addiction-Related Surveillance) System, a comprehensive series of studies designed to collect timely and geographically specific data on the abuse and diversion of a number of prescription stimulants and opioid analgesics. The remaining data sets include the National Survey on Drug Use and Health (NSDUH) and the Monitoring the Future (MTF) survey. Our analysis yielded uniformly low rates of prescription drug acquisition from online sources across all five data systems we examined. The consistency of this finding across very diverse populations suggests that the Internet is a relatively minor source for illicit purchases of prescription medications by the individual end-users of these drugs.

Indexed as

AmphetaminesCentral Nervous System StimulantsData CollectionHumansHypnotics and SedativesInternetOpioid-Related DisordersPoison Control CentersPrescription DrugsSubstance Abuse Treatment CentersSubstance-Related DisordersSurveys and QuestionnairesTranquilizing AgentsUnited StatesUniversitiesAmphetaminesCentral Nervous System StimulantsHypnotics and SedativesPrescription DrugsTranquilizing Agents

Identifiers

PMID20227199
PMCPMC3518836

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.