Evidence map›Paper›PMID 29807248›Full record

ArticleThe International journal on drug policy2018

Quantity fluctuations of illicitly used opioids and overdose risk.

Christopher Rowe, Eliza Wheeler, Eric Vittinghoff, Glenn-Milo Santos, Emily Behar, Phillip O Coffin

Abstract read
In one paragraph

Article in The International journal on drug policy, 2018. 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
–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

5 citing papers in PubMed.

  1. Article
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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.

Christopher RoweSan Francisco Department of Public Health, 25 Van Ness Avenue, Suite 500, San Francisco, CA 94102, USA. Electronic address: chris.rowe@sfdph.org.
Eliza WheelerHarm Reduction Coalition, 1440 Broadway, Suite 902, Oakland, CA 94612, USA. Electronic address: wheeler@harmreduction.org.
Eric VittinghoffUniversity of California, San Francisco, 500 Parnassus Avenue, San Francisco, CA 94143, USA. Electronic address: eric.vittinghoff@ucsf.edu.
Glenn-Milo SantosSan Francisco Department of Public Health, 25 Van Ness Avenue, Suite 500, San Francisco, CA 94102, USA; University of California, San Francisco, 500 Parnassus Avenue, San Francisco, CA 94143, USA. Electronic address: glenn-milo.santos@sfgov.org.
Emily BeharSan Francisco Department of Public Health, 25 Van Ness Avenue, Suite 500, San Francisco, CA 94102, USA. Electronic address: emily.behar@sfdph.org.
Phillip O CoffinSan Francisco Department of Public Health, 25 Van Ness Avenue, Suite 500, San Francisco, CA 94102, USA; University of California, San Francisco, 500 Parnassus Avenue, San Francisco, CA 94143, USA. Electronic address: phillip.coffin@sfdph.org.

Funding

Western States Node of the National Drug Abuse Treatment Clinical Trials Network (TMS for CUD) UG1DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Keith N. Humphreys, Philip Todd Korthuis · 2015 to 2026
$24.6M
Substance Use and HIV Prevention Research in Minority Communities Training ProgramR25DA028567 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Julia Lechuga, Torsten Brian Neilands · 2009 to 2026
$5.4M
Midcareer K24 Award for Mentoring and Patient-Oriented ResearchK24DA042720 · NIDA · SAN FRANCISCO DEPARTMENT OF PUBLIC HEALTH · PI PHILLIP O COFFIN · 2016 to 2026
$1.6M
Repeated-dose Brief Intervention to Reduce Overdose and Risk Behaviors Among NaloR34DA037194 · NIDA · PUBLIC HEALTH FOUNDATION ENTERPRISES · PI COFFIN, PHILLIP O · 2014 to 2016
$501k
NIDA NIH HHS K24 DA042720NIDA NIH HHS R25 DA028567NIDA NIH HHS R34 DA037194NIDA NIH HHS UG1 DA015815
6 · The paper itself

Abstract

backgroundReduced opioid tolerance is believed to be associated with overdose risk, although this relationship has primarily been examined in the context of gaps and frequency of opioid use. We sought to assess how changes in the quantity of opioids used, as opposed to periods of abstinence or overall frequency of use, relate to overdose risk.

methodsAmong repeated visits of participants of a behavioral intervention trial from 2014 to 2016, we used multivariable logistic regression models fit with generalized estimating equations to examine the relationship between the percentage of opioid use days on which individuals used more or less than the quantity they used on average (i.e., quantity volatility) and the occurrence of opioid overdose.

resultsOur sample included 290 four-month reporting periods among 63 participants (67% male). Opioid overdose events were reported by 28 (44%) participants during 48 (17%) reporting periods. Our measure of quantity volatility had a median of 20% (IQR 0.0-50.0). In multivariable analysis, using a quantity different than the quantity used on average on more than 20% of all opioid use days in the reporting period was significantly associated with odds of any opioid overdose (Adjusted OR = 3.55, 95%CI = 1.55-8.13, p = 0.003), controlling for confounders.

conclusionQuantity volatility of illicitly used opioids was positively associated with overdose risk and may contribute to the complex system of overlapping factors that influence overdose risk. Future observational research among opioid users should collect detailed opioid use data, including quantity used over time, to clarify the patterns that most elevate overdose risk.

Indexed as

AdolescentAdultAgedAnalgesics, OpioidDrug OverdoseFemaleHumansMaleMiddle AgedOpioid-Related DisordersRisk FactorsSan FranciscoSelf MedicationYoung AdultAnalgesics, OpioidHeroinInjection drug useOpioid overdosePrescription opioidsRisk factors

Identifiers

PMID29807248
PMCPMC6419728

What OpenQuestion holds

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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.