Evidence map›Paper›PMID 31887142›Full record

ArticlePloS one2019

Heroin type, injecting behavior, and HIV transmission. A simulation model of HIV incidence and prevalence.

Georgiy Bobashev, Sarah Mars, Nicholas Murphy, Clinton Dreisbach, William Zule, Daniel Ciccarone

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Explaining "U-shaped" distributions of population substance use with a simple computational approach.Journal of artificial societies and social simulation : JASSS · 2025
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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.

Georgiy BobashevCenter for Data Science, RTI International, Research Triangle Park, NC, United States of America.ORCID 0000-0003-2346-1400
Sarah MarsUniversity of California, San Francisco, Department of Family and Community Medicine, San Francisco, CA, United States of America.
Nicholas MurphyUniversity of California, San Francisco, Department of Family and Community Medicine, San Francisco, CA, United States of America.
Clinton DreisbachCenter for Data Science, RTI International, Research Triangle Park, NC, United States of America.
William ZuleCenter for Global Health, RTI International, Research Triangle Park, NC, United States of America.
Daniel CiccaroneUniversity of California, San Francisco, Department of Family and Community Medicine, San Francisco, CA, United States of America.ORCID 0000-0002-2355-5477

Funding

Heroin in TransitionR01DA037820 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CICCARONE, DANIEL H · 2015 to 2019
$3.7M
NIDA NIH HHS R01 DA037820
6 · The paper itself

Abstract

BACKGROUND AND

aimsUsing mathematical modeling to illustrate and predict how different heroin source-forms: "black tar" (BTH) and powder heroin (PH) can affect HIV transmission in the context of contrasting injecting practices. By quantifying HIV risk by these two heroin source-types we show how each affects the incidence and prevalence of HIV over time. From 1997 to 2010 PH reaching the United States was manufactured overwhelmingly by Colombian suppliers and distributed in the eastern states of the United States. Recently Mexican cartels that supply the western U.S. states have started to produce PH too, replacing Colombian distribution to the east. This raises the possibility that BTH in the western U.S. may be replaced by PH in the future.

designWe used an agent-based model to evaluate the impact of use of different heroin formulations in high- and low-risk populations of persons who inject drugs (PWID) who use different types of syringes (high vs. low dead space) and injecting practices. We obtained model parameters from peer-reviewed publications and ethnographic research.

resultsHeating of BTH, additional syringe rinsing, and subcutaneous injection can substantially decrease the risk of HIV transmission. Simulation analysis shows that HIV transmission risk may be strongly affected by the type of heroin used. We reproduced historic differences in HIV prevalence and incidence. The protective effect of BTH is much stronger in high-risk compared with low-risk populations. Simulation of future outbreaks show that when PH replaces BTH we expect a long-term overall increase in HIV prevalence. In a population of PWID with mixed low- and high-risk clusters we find that local HIV outbreaks can occur even when the overall prevalence and incidence are low. The results are dependent on evidence-supported assumptions.

conclusionsThe results support harm-reduction measures focused on a reduction in syringe sharing and promoting protective measures of syringe rinsing and drug solution heating.

Indexed as

Harm ReductionHeroinHeroin DependenceHIV InfectionsHumansIncidenceModels, TheoreticalNeedle SharingPrevalenceRisk FactorsRisk-TakingSubstance Abuse, IntravenousSyringesUnited StatesViral LoadHeroin

Identifiers

PMID31887142
PMCPMC6936826

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Registered trials

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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.