Evidence map›Paper›PMID 30290291›Full record

ArticleDrug and alcohol dependence2018

Opioid and cocaine use among primary care patients on buprenorphine-Self-report and urine drug tests.

Sarah M Bagley, Debbie M Cheng, Michael Winter, Daniel P Alford, Colleen LaBelle, Alexander Y Walley, Jeffrey H Samet

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. 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. Trial
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
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.

Sarah M BagleyClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States; Department of Pediatrics, Boston University School of Medicine, Boston, MA, United States. Electronic address: Sarah.bagley@bmc.org.
Debbie M ChengDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.
Michael WinterBiostatistics and Epidemiology Analytics Center, Boston University School of Public Health, Boston, MA, United States.
Daniel P AlfordClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States.
Colleen LaBelleClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States.
Alexander Y WalleyClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States.
Jeffrey H SametClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States; Boston University School of Public Health, Boston, MA, United States.

Funding

Clinical Addiction Research and Education ProgramR25DA013582 · NIDA · BOSTON MEDICAL CENTER · PI JEFFREY H. SAMET, Alexander Yale Walley · 2001 to 2026
$8.9M
Advancing Clinical Research Training within Addiction Residency ProgramsR25DA033211 · NIDA · BOSTON MEDICAL CENTER · PI Patrick O'Connor, JEFFREY H. SAMET · 2012 to 2026
$4.2M
A Behavioral Intervention to Engage Emerging Adults in Addiction Treatment after a Non-fatal Opioid OverdoseK23DA044324 · NIDA · BOSTON MEDICAL CENTER · PI BAGLEY, SARAH M · 2017 to 2021
$938k
NIDA NIH HHS K23 DA044324NIDA NIH HHS L30 DA044647NIDA NIH HHS R25 DA013582NIDA NIH HHS R25 DA033211
6 · The paper itself

Abstract

backgroundUrine drug tests (UDTs) are recommended to monitor patients treated for opioid use disorder in primary care. The aims are to (1) estimate the frequency of self-report and UDT results of opioid and cocaine use and (2) evaluate the association between treatment time with non-disclosure of opioid or cocaine use and having a positive UDT.

methodsWe conducted a retrospective review of patients enrolled in a primary care-based buprenorphine program between January 2011-April 2013. We describe three clinical visits types: no disclosure of opioid/cocaine use and positive UDT; disclosure of opioid or cocaine use and a negative or positive UDT; and no disclosure of opioid or cocaine use and a negative UDT. We fit generalized estimating equations logistic regression models to evaluate whether treatment time is associated with non-disclosure of opioids or cocaine use and a positive UDT.

resultsAmong all UDT results (n = 1755) from 130 patients, 10% were positive for illicit opioids and 4% for cocaine. Among UDTs with illicit opioid or cocaine positive results, in 57% and 76% of these scenarios, the patient did not disclose. The odds of non-disclosure and having a positive UDT was higher in the first 180 days for opioids and 90 days for cocaine.

conclusionAmong primary care patients treated with buprenorphine, a small but substantial percentage of UDTs were cocaine or opioid positive. As treatment time increased, non-disclosure was less common but persisted even after six months. Among primary care patients treated with buprenorphine, UDTs contribute information to optimize clinical care.

Indexed as

AdultBuprenorphineCocaine-Related DisordersFemaleHumansMaleMiddle AgedNarcotic AntagonistsOpioid-Related DisordersPrimary Health CareRetrospective StudiesSelf ReportSubstance Abuse DetectionYoung AdultBuprenorphineNarcotic AntagonistsBuprenorphineCocaineOpioidsUrine drug testing

Identifiers

PMID30290291
PMCPMC6291245

What OpenQuestion holds

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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.