Evidence map›Paper›PMID 29173117›Full record

SynthesisJournal of ethnicity in substance abuse

Psychosocial risks of prescription drug misuse among U.S. racial/ethnic minorities: A systematic review.

Bridgette J Peteet

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Journal of ethnicity in substance abuse. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 31 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Bridgette J Peteeta University of Cincinnati , Cincinnati , Ohio.ORCID 0000-0003-2429-3445
University of Cincinnati · US

Funding

Brief intervention for drug-using rural women at high-risk for HIV/HCVR01DA033866 · NIDA · UNIVERSITY OF KENTUCKY · PI STATON, MICHELE · 2012 to 2016
$2.8M
NIDA NIH HHS R01 DA033866NIMHD NIH HHS L60 MD012147
6 · The paper itself

Abstract

Prescription drug misuse (PDM) is the leading cause of accidental death in the U.S. One in five Americans report at least one lifetime incident of PDM. PDM has been studied extensively, yet there is limited inclusion of racial/ethnic minorities due to purportedly lower rates of PDM. However, health disparate groups often face more detrimental consequences of substance abuse including behavioral, social, and medical/mental health (e.g., injury, HIV/AIDS, incarceration, educational attainment, and comorbidity). Failing to characterize risk factors for and consequences of PDM in racial/ethnic minorities may mask the disproportionate negative impact of this epidemic. This systematic review of three research indexes revealed 28 peer-reviewed studies published on PDM in racial/ethnic minority adults. Results indicated a high prevalence of PDM among veterans, bisexual and gay young adults, and substance abusers compared to the general population. Demographic correlates of PDM included younger age, male gender, less educated, unmarried, and those with health/emotional issues. Rates of PDM in demographically vulnerable populations suggest that broadening inclusiveness in PDM research, interventions, and clinical practice is imperative.

Indexed as

Mental HealthEthnicityFemaleHumansMalePrescription Drug MisusePrevalenceRacial GroupsRisk FactorsSubstance-Related DisordersUnited StatesBehavioral health disparitiesprescription drug abuseprescription drug misuseracial and ethnic disparitiesracial and ethnic minority prescription drug abuse

Identifiers

PMID29173117
PMCPMC6261796
OpenAlexW2770136383

What OpenQuestion holds

Textmetadata
LicenceTDM
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.