Evidence map›Paper›PMID 25313832›Full record

ArticleSubstance use & misuse2015

Patterns of drug use, risky behavior, and health status among persons who inject drugs living in San Diego, California: a latent class analysis.

Alexis M Roth, Richard A Armenta, Karla D Wagner, Scott C Roesch, Ricky N Bluthenthal, Jazmine Cuevas-Mota, Richard S Garfein

Abstract read
In one paragraph

Article in Substance use & misuse, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Alexis M Roth1Drexel University, Philadelphia , Pennsylvania , USA.
Richard A Armenta
Karla D Wagner
Scott C Roesch
Ricky N Bluthenthal
Jazmine Cuevas-Mota
Richard S Garfein

Funding

Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
Drug tourism to Mexico: Impact of Mexicos new drug law on HIV-HCV-TB in US IDUsR01DA031074 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GARFEIN, RICHARD S · 2011 to 2015
$3.2M
Sex/Drug Tourism at the US/Mexico Border: Social Network Influences on HIV Risk.K01DA031031 · NIDA · UNIVERSITY OF NEVADA RENO · PI WAGNER, KARLA D. · 2010 to 2014
$882k
NIDA NIH HHS K01 DA031031NIDA NIH HHS R01 DA031074NIDA NIH HHS R01 DA031074-01S1NIDA NIH HHS T32 DA 023356NIDA NIH HHS T32 DA023356PHS HHS R01 027689
6 · The paper itself

Abstract

backgroundAmong persons who inject drugs (PWID), polydrug use (the practice of mixing multiple drugs/alcohol sequentially or simultaneously) increases risk for HIV transmission and unintentional overdose deaths. Research has shown local drug markets influence drug use practices. However, little is known about the impact of drug mixing in markets dominated by black tar heroin and methamphetamine, such as the western United States.

methodsData were collected through an ongoing longitudinal study examining drug use, risk behavior, and health status among PWID. Latent class analysis (LCA) was used to identify patterns of substance use (heroin, methamphetamine, prescription drugs, alcohol, and marijuana) via multiple administration routes (injecting, smoking, and swallowing). Logistic regression was used to identify behaviors and health indicators associated with drug use class.

resultsThe sample included 511 mostly white (51.5%) males (73.8%), with mean age of 43.5 years. Two distinct classes of drug users predominated: methamphetamine by multiple routes (51%) and heroin by injection (49%). In multivariable logistic regression, class membership was associated with age, race, and housing status. PWID who were HIV-seropositive and reported prior sexually transmitted infections had increased odds of belonging to the methamphetamine class. Those who were HCV positive and reported previous opioid overdose had an increased odds of being in the primarily heroin injection class (all P-values < .05).

conclusionRisk behaviors and health outcomes differed between PWID who primarily inject heroin vs. those who use methamphetamine. The findings suggest that in a region where PWID mainly use black tar heroin or methamphetamine, interventions tailored to sub-populations of PWID could improve effectiveness.

Indexed as

Risk-TakingAdultCaliforniaDrug Administration RoutesDrug UsersFemaleHealth StatusHeroinHumansLongitudinal StudiesMaleMethamphetamineMiddle AgedSubstance Abuse, IntravenousSubstance-Related DisordersHeroinMethamphetamineCalifornialatent class analysispersons who inject drugspolydrug useSan Diegotailored interventions

Identifiers

PMID25313832
PMCPMC4356115

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.