Evidence map›Paper›PMID 34182374›Full record

ArticleDrug and alcohol dependence2021

Opioid deaths involving concurrent benzodiazepine use: Assessing risk factors through the analysis of prescription drug monitoring data and postmortem toxicology.

Michael J Bannon, Allyson R Lapansie, Alaina M Jaster, Manal H Saad, Jayna Lenders, Carl J Schmidt

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. A call for better validation of opioid overdose risk algorithms.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  4. Article
  5. Article
  6. Observational
  7. Alprazolam-related deaths in Scotland, 2004-2020.Journal of psychopharmacology (Oxford, England) · 2022
    Article
  8. 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

6 authors.

Michael J BannonDepartment of Pharmacology, Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA. Electronic address: mbannon@med.wayne.edu.
Allyson R LapansieDepartment of Pharmacology, Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA.
Alaina M JasterDepartment of Pharmacology, Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA.
Manal H SaadDepartment of Pharmacology, Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA.
Jayna LendersDepartment of Pharmacology, Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA.
Carl J SchmidtDepartment of Pathology, University of Michigan School of Medicine, 2800 Plymouth Rd, Bldg. 35, Ann Arbor, MI, 48109, USA; Wayne County Medical Examiner's Office, 1300 E Warren Ave, Detroit, MI, 48207, USA.

Funding

TRANSCRIPTOME AND EPIGENOME MAPPING IN DOPAMINE NEURONS FROM THE OPIOID EXPOSED HUMAN BRAINR01DA047880 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, BANNON, MICHAEL J · 2019 to 2023
$3.4M
NIDA NIH HHS R01 DA047880
6 · The paper itself

Abstract

backgroundA high proportion of opioid drug deaths involve concurrent benzodiazepine use. To reduce the risk of drug overdose, various prescription drug monitoring programs have been implemented. This study examined the impact of concurrent benzodiazepine use on opioid-related deaths, and the utility of the Michigan Automated Prescription System (MAPS) in predicting risk of opioid death.

methodsWayne County Medical Examiner's Office cases from 2018 were examined in terms of MAPS data and MAPS-derived drug risk scores, as well as postmortem toxicology. Opioid death cases with concurrent benzodiazepine use were compared to non-drug deaths.

resultsFor cases with a MAPS history for 6 months preceding death, the incidence of opioid prescriptions filled did not differ between groups. In contrast, significantly more opioid death cases had filled a benzodiazepine prescription; alprazolam prescription was the single best predictor of opioid drug death. Groups differed in MAPS-calculated drug risk scores, though these were less predictive of opioid death than some individual measures of prescription drug use. In terms of postmortem toxicology, fentanyl was the best discriminator between cohorts, with significant associations seen for morphine, benzodiazepine, or cocaine use. Similar results were obtained in the subset of subjects filling a prescription within a month of death, except that MAPS risk scores no longer predicted drug deaths.

conclusionMAPS scores did not adequately predict risk of opioid-related death. Contrary to expectations, prescription opioid use was not correlated with opioid-related death, whereas concurrent use of opioids and benzodiazepines represented a highly significant risk factor.

Indexed as

Drug OverdosePrescription Drug Monitoring ProgramsPrescription DrugsAnalgesics, OpioidBenzodiazepinesDrug PrescriptionsHumansRisk FactorsAnalgesics, OpioidBenzodiazepinesPrescription DrugsAlprazolamBenzodiazepineMichigan automated prescription systemOpioid deathPostmortem toxicologyPrescription drug monitoring program

Identifiers

PMID34182374
PMCPMC8288032

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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.