Evidence map›Paper›PMID 38529041›Full record

ArticleJournal of drug issues2017

Risk Environments and Substance Use Among Mexican Female Sex Work on the U.S.-Mexico Border.

Kathryn M Nowotny, Alice Cepeda, Tasha Perdue, Nalini Negi, Avelardo Valdez

Open access · greenAbstract read
In one paragraph

Article in Journal of drug issues, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 13 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

5 authors at 3 institutions in 1 country.

Kathryn M NowotnyUniversity of Miami, Coral Gables, FL, USA.
Alice CepedaUniversity of Southern California, Los Angeles, CA, USA.
Tasha PerdueUniversity of Southern California, Los Angeles, CA, USA.
Nalini NegiUniversity of Maryland, Baltimore, MD, USA.
Avelardo ValdezUniversity of Southern California, Los Angeles, CA, USA.
University of Southern California · USUniversity of Maryland, Baltimore · USUniversity of Miami · US

Funding

NEUROSCIENCE TRAINING IN DRUG ABUSE RESEARCHT32DA007234 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Paul G Mermelstein, Jocelyn M Richard · 1986 to 2026
$10.9M
Interdisciplinary Research Training Institute on Hispanic Drug AbuseR25DA026401 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VALDEZ, AVELARDO · 2009 to 2019
$3.2M
NIDA NIH HHS R25 DA026401NIDA NIH HHS T32 DA007234
6 · The paper itself

Abstract

We use a risk environment framework to qualitatively examine pathways into substance use and abuse among Mexican female sex workers on the U.S.-Mexico border. Life history interviews and ethnographic observations were conducted with female sex workers to uncover how the border context shapes patterns of substance use. The findings illustrate that, for many women, initiation into sex work is contextualized within immigration, the global economy, and demands and desire for financial autonomy. Paradoxically, many find autonomy within sex work as they increase their ability to support their families and themselves. As women become more entrenched in sex work, however, they are put on a path toward substance abuse beginning with alcohol then cocaine and heroin. This identification of specific substance use pathways and trajectories has important implications for the development of prevention and intervention programs that can help curtail problematic drug use that can lead to negative health consequences.

Indexed as

drug usefemale sex workersHIV riskMexico

Identifiers

PMID38529041
PMCPMC10963065
OpenAlexW2555996325

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.