Evidence map›Paper›PMID 26690813›Full record

ArticleAIMS public health2015

Prescription Drug Diversion: Predictors of Illicit Acquisition and Redistribution in Three U.S. Metropolitan Areas.

Shana Harris, Valentina Nikulina, Camila Gelpí-Acosta, Cory Morton, Valerie Newsome, Alana Gunn, Heidi Hoefinger, Ross Aikins, Vivian Smith, Victoria Barry and 1 more

Abstract read
In one paragraph

Article in AIMS public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

11 authors.

Shana HarrisDepartment of Anthropology, University of Central Florida, 4000 Central Florida Boulevard, Howard Phillips Hall 309, Orlando, FL 32816-1361, USA.
Valentina NikulinaPsychology Department, Queens College, City University of New York, 6530 Kissena Boulevard, SB A344, Queens, NY 11367-1597, USA.
Camila Gelpí-AcostaSocial Science Department, LaGuardia Community College, City University of New York, 31-10 Thomson Avenue, Long Island City, NY 11101, USA.
Cory MortonSchool of Social Work, Rutgers University, 536 George Street, New Brunswick, NJ 08901, USA.
Valerie NewsomeNational Development and Research Institutes, 71 West 23rd Street, 4th Floor, New York, NY 10010, USA.
Alana GunnDepartment of Social Work, Binghamton University, P.O. Box 6000, Binghamton, NY 13902-6000.
Heidi HoefingerScience Department, Berkeley College, 3 East 43 Street New York, NY 10017, USA.
Ross AikinsGraduate School of Education, University of Pennsylvania, 3700 Walnut Street Philadelphia, PA 19104, USA.
Vivian SmithSociology and Criminology Department, Cabrini College, 610 King of Prussia Road, Radnor, PA 19087-3698, USA.
Victoria BarryDepartment of Pediatrics, Harlem Hospital Center, 506 Malcolm X Boulevard, New York, NY 10037, USA.
Martin J DowningPublic Health Solutions, 40 Worth Street, 5th Floor, New York, NY 10013, USA.

Funding

BEHAVIORAL SCI TRAINING IN DRUG ABUSE RESEARCHT32DA007233 · NIDA · PUBLIC HEALTH SOLUTIONS · PI GOLDSAMT, LLOYD A · 1985 to 2023
$20.2M
NIDA NIH HHS T32 DA007233NIMHD NIH HHS L60 MD008516
6 · The paper itself

Abstract

objectivePrescription drug diversion, the transfer of prescription drugs from lawful to unlawful channels for distribution or use, is a problem in the United States. Despite the pervasiveness of diversion, there are gaps in the literature regarding characteristics of individuals who participate in the illicit trade of prescription drugs. This study examines a range of predictors (e.g., demographics, prescription insurance coverage, perceived risk associated with prescription drug diversion) of membership in three distinct diverter groups: individuals who illicitly acquire prescription drugs, those who redistribute them, and those who engage in both behaviors.

methodsData were drawn from a cross-sectional Internet study (

resultsWhile individuals in all diversion groups were more likely to be younger and have a licit prescription for any of the assessed drugs in the past year than those who did not divert, individuals who both acquire and redistribute are more likely to live in New York City, not have prescription insurance coverage, and perceive fewer legal risks of prescription drug diversion.

conclusionFindings suggest that predictive characteristics vary according to diverter group.

Indexed as

diversionillicit behaviorInternet-based studyprescription drugsUnited States

Identifiers

PMID26690813
PMCPMC4683601

What OpenQuestion holds

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Registered trials

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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.