Evidence map›Paper›PMID 28448905›Full record

ArticleDrug and alcohol dependence2017

Drug use generations and patterns of injection drug use: Birth cohort differences among people who inject drugs in Los Angeles and San Francisco, California.

Ricky N Bluthenthal, Lynn Wenger, Daniel Chu, Philippe Bourgois, Alex H Kral

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

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  10. The hepatitis C epidemic in Canada: An overview of recent trends in surveillance, injection drug use, harm reduction and treatment.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2021
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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 2 institutions in 1 country.

Ricky N BluthenthalDepartment of Preventive Medicine, Institute for Prevention Research, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA, 90033, USA. Electronic address: rbluthen@usc.edu.
Lynn WengerBehavioral and Urban Health Program, RTI International, 351 California St., San Francisco, CA 94104, USA.
Daniel ChuDepartment of Preventive Medicine, Institute for Prevention Research, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA, 90033, USA.
Philippe BourgoisDepartment of Psychiatry and Biobehavioral Sciences, UCLA Center for Social Medicine and the Humanities, Semel Institute, 760 Westwood Plaza, Los Angeles, CA 90095, USA.
Alex H KralBehavioral and Urban Health Program, RTI International, 351 California St., San Francisco, CA 94104, USA.
RTI International · USUniversity of Southern California · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
The Logics for HIV Risk among Street-Based Heroin InjectorsR01DA010164 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI BRANAS, CHARLES C. · 1996 to 2014
$4.9M
Preventing injection initiation: The Change The Cycle Randomized Controlled TrialR01DA038965 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BLUTHENTHAL, RICKY N, KRAL, ALEXANDER H · 2015 to 2018
$3.0M
Exploratory Research on Late Initiation of Drug InjectionR01DA027689 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BLUTHENTHAL, RICKY N, KRAL, ALEXANDER H · 2010 to 2012
$1.7M
NCI NIH HHS P30 CA014089NIDA NIH HHS R01 DA010164NIDA NIH HHS R01 DA027689NIDA NIH HHS R01 DA038965
6 · The paper itself

Abstract

objectivesA robust literature documents generational trends in drug use. We examined the implications of changing national drug use patterns on drug injection histories of diverse people who inject drugs (PWID).

methodsDrug use histories were collected from 776 active PWID in 2011-13. Using descriptive statistics, we examine drug use initiation by year and birth cohort (BC) differences in drug first injected. A multivariate linear regression model of time to injection initiation ([TTII] (year of first injection minus year of first illicit drug use) was developed to explore BC differences.

resultsThe first drug injected by BC changed in tandem with national drug use trends with heroin declining from 77% for the pre-1960's BC to 58% for the 1960's BC before increasing to 71% for the 1990's BC. Multivariate linear regression modeling found that shorter TTII was associated with the 1980's/1990's BC (-3.50 years; 95% Confidence Interval [CI]=-0.79, -6.21) as compared to the 1970's BC. Longer TTII was associated with being female (1.65 years; 95% CI=0.40, 2.90), African American (1.69 years; 95% CI=0.43, 2.95), any substance use treatment prior to injection (4.22 years; 95% CI=2.65, 5.79), and prior non-injection use of drug that was first injected (3.29 years; 95% CI=2.19, 4.40).

conclusionNational drug trends appear to influence injection drug use patterns. The prescription opiate drug era is associated with shorter TTII. Culturally competent, demographically and generationally-targeted prevention strategies to combat transitions to drug injection are needed to prevent or shorten upstream increases in risky drug use practices on a national level.

Indexed as

Age FactorsAdultCohort StudiesFemaleHeroinHumansLinear ModelsLos AngelesMaleMiddle AgedMultivariate AnalysisSan FranciscoSubstance Abuse, IntravenousSubstance-Related DisordersYoung AdultHeroinBirth cohortsHeroin initiationIllicit prescription opioid useInjection drug useLife course theoryTime to injection initiation

Identifiers

PMID28448905
PMCPMC5494991
OpenAlexW2607187670

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.