ArticleAddiction (Abingdon, England)2019
Changes in associations of prescription opioid use disorder and illegal behaviors among adults in the United States from 2002 to 20.
Article in Addiction (Abingdon, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- An Evaluation of Opioid Use in Black Communities: A Rapid Review of the Literature.Harvard review of psychiatryPooled it
- THE EVOLVING CONSEQUENCES OF OXYCONTIN REFORMULATION ON DRUG OVERDOSES.American journal of health economics · 2021Article
Corrections and comments
- Commented on by
- Erratum issuedErratum.2021
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND AND
aimsIn the United States, the availability of prescription opioids has decreased in recent years. Whether there have been corresponding changes in the likelihood of people with prescription opioid use disorder (POUD) to engage in illegal behaviors related to drug use remains unknown. We examined changes in prevalence of illegal behaviors between people with and without POUD over time, and how transactions for obtaining opioids have changed among people with POUD over time.
designTemporal trend analysis of repeated cross-sectional data.
settingUnited States household dwelling population from all 50 states and District of Columbia.
participantsAdult subsamples from the 2002-14 National Survey of Drug Use and Health (n = 5393 people with POUD; n = 486 768 people without POUD). MEASUREMENTS: Outcome variables were selected illegal behaviors and sources of opioids used non-medically. POUD was defined using the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, criteria. Time was treated as a continuous variable. The variable of interest for each illegal behavior analysis was the interaction between POUD diagnosis and time. Covariates included age, sex and race/ethnicity.
findingsDuring the 13-year period examined, the adjusted interaction odds ratio (AIOR) describing the change in association between POUD and selling illicit drugs increased by a factor of 2.41 [95% confidence interval (CI) = 1.56-3.71, P < 0.001]. Similar trends were noted for stealing (AIOR = 2.12, 95% CI = 1.31-3.44, P = 0.002) and for life-time history of arrest (AIOR = 1.53, 95% CI = 1.06-2.19, P = 0.021). People with POUD became less likely to receive opioids for free from friends and family [adjusted odds ratio (AOR) = 0.42, 95% CI = 0.25-0.71, P = 0.001] and more likely to buy them from friends and family (AOR = 3.29, 95% CI = 1.76-6.13, P < 0.001) from 2005 to 2014.
conclusionsIn the United States, against a backdrop of a decreasing prescription opioid supply, rates of some crimes potentially related to drug use increased among people with prescription opioid use disorder compared with those without prescription opioid use disorder from 2002 to 2014.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.