Evidence map›Paper›PMID 27792911›Full record

ArticleDrug and alcohol dependence2016

Towards greater understanding of addiction stigma: Intersectionality with race/ethnicity and gender.

Magdalena Kulesza, Mauri Matsuda, Jason J Ramirez, Alexandra J Werntz, Bethany A Teachman, Kristen P Lindgren

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 164 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

6 authors at 3 institutions in 1 country.

Magdalena KuleszaRAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA. Electronic address: mkulesza@rand.org.
Mauri MatsudaRAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA. Electronic address: mmatsuda@rand.org.
Jason J RamirezUniversity of Washington, Department of Psychiatry, 1100 NE 45th Street, Seattle, WA, 98105, USA. Electronic address: jjramirz@uw.edu.
Alexandra J WerntzUniversity of Virginia, Department of Psychology, 102 Gilmer Hall, Charlottesville, VA, 22904, USA. Electronic address: ajw3x@virginia.edu.
Bethany A TeachmanUniversity of Virginia, Department of Psychology, 102 Gilmer Hall, Charlottesville, VA, 22904, USA. Electronic address: bteachman@virginia.edu.
Kristen P LindgrenUniversity of Washington, Department of Psychiatry, 1100 NE 45th Street, Seattle, WA, 98105, USA. Electronic address: KPL9716@uw.edu.
RAND Corporation · USUniversity of Virginia · USUniversity of Washington · US

Funding

Psychology Training in Alcohol Research (PTAR)T32AA007455 · NIAAA · UNIVERSITY OF WASHINGTON · PI MARY E. LARIMER · 1985 to 2026
$11.4M
Evaluating Change in Drinking Identity as a Mechanism for Reducing Hazardous DrinkingR01AA024732 · NIAAA · UNIVERSITY OF WASHINGTON · PI LINDGREN, KRISTEN P · 2016 to 2020
$2.1M
Using Implicit Measures to Improve Prediction of Hazardous DrinkingR01AA021763 · NIAAA · UNIVERSITY OF WASHINGTON · PI LINDGREN, KRISTEN P · 2013 to 2017
$1.6M
Testing Target Engagement and Effectiveness of Web-based Interpretation Training For AnxietyR34MH106770 · NIMH · UNIVERSITY OF VIRGINIA · PI TEACHMAN, BETHANY A · 2015 to 2016
$689k
NIAAA NIH HHS R01 AA021763NIAAA NIH HHS R01 AA024732NIAAA NIH HHS T32 AA007455NIMH NIH HHS R34 MH106770
6 · The paper itself

Abstract

backgroundIn spite of the significant burden associated with substance use disorders, especially among persons who inject drugs (PWIDs), most affected individuals do not engage with any type of formal or informal treatment. Addiction stigma, which is represented by negative social attitudes toward individuals who use alcohol and/or other drugs, is one of the barriers to care that is poorly understood. The current study: a) assessed implicit (indirect and difficult to consciously control) and explicit (consciously controlled) beliefs about PWIDs among visitors to a public web site; and b) experimentally investigated the effects of ethnicity/race and gender on those implicit and explicit beliefs.

methodsN=899 predominantly White (70%) and women (62%) were randomly assigned to one of six target PWIDs conditions: gender (man/woman) x race/ethnicity (White, Black, Latino/a). Participants completed an Implicit Association Test and explicit assessment of addiction stigma.

resultsParticipants implicitly associated PWIDs (especially Latino/a vs. White PWIDs) with deserving punishment as opposed to help (p=0.003, d=0.31), indicating presence of addiction stigma-related implicit beliefs. However, this bias was not evident on the explicit measure (p=0.89). Gender did not predict differential implicit or explicit addiction stigma (p=0.18).

conclusionsContrary to explicit egalitarian views towards PWIDs, participants' implicit beliefs were more in line with addiction stigma. If replicated and clearer ties to behavior are established, results suggest the potential importance of identifying conditions under which implicit bias might influence behavior (even despite explicit egalitarian views) and increase the likelihood of discrimination towards PWIDs.

Indexed as

Social StigmaAdultBehavior, AddictiveBlack or African AmericanBlack PeopleCross-Sectional StudiesEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedRacial GroupsRandom AllocationSex FactorsSubstance-Related DisordersAddiction stigmaGender biasImplicit association testIntersectionality frameworkPersons who inject drugsRacial/ethnic bias

Identifiers

PMID27792911
PMCPMC6040658
OpenAlexW2539175673

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.