Estimating drug consumption during a college sporting event from wastewater using liquid chromatography mass spectrometry.


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Apr 2021
Historique:
received: 10 06 2020
revised: 13 11 2020
accepted: 15 11 2020
pubmed: 2 1 2021
medline: 7 2 2021
entrez: 1 1 2021
Statut: ppublish

Résumé

Consumption of licit and/or illicit compounds during sporting events has traditionally been monitored using population surveys, medical records, and law enforcement seizure data. This pilot study evaluated the temporal and geospatial patterns in drug consumption during a university football game from wastewater using liquid chromatography tandem mass spectrometry (LC-MS/MS). Untreated wastewater samples were collected from three locations within or near the same football stadium every 30 min during a university football game. This analysis leveraged two LCMS/ MS instruments (Waters Acquity TQD and a Shimadzu 8040) to analyze samples for 58 licit or illicit compounds and some of their metabolites. Bayesian multilevel models were implemented to estimate mass load and population-level drug consumption, while accounting for multiple instrument runs and concentrations censored at the lower limit of quantitation. Overall, 29 compounds were detected in at least one wastewater sample collected during the game. The 10 most common compounds included opioids, anorectics, stimulants, and decongestants. For compounds detected in more than 50% of samples, temporal trends in median mass load were correlated with the timing of the game; peak loads for cocaine and tramadol occurred during the first quarter of the game and for phentermine during the third quarter. Stadium-wide estimates of the number of doses of drugs consumed were rank ordered as follows: oxycodone (n = 3246) > hydrocodone (n = 2260) > phentermine (n = 513) > cocaine (n = 415) > amphetamine (n = 372) > tramadol (n = 360) > pseudoephedrine (n = 324). This analysis represents the most comprehensive assessment of drug consumption during a university football game and indicates that wastewater-based epidemiology has potential to inform public health interventions focused on reducing recreational drug consumption during large-scale sporting events.

Identifiants

pubmed: 33385644
pii: S0048-9697(20)37494-5
doi: 10.1016/j.scitotenv.2020.143963
pii:
doi:

Substances chimiques

Waste Water 0
Water Pollutants, Chemical 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

143963

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Dominick J Lemas (DJ)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, United States. Electronic address: djlemas@ufl.edu.

Mathew Shane Loop (MS)

Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Michelle Duong (M)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, United States.

Andrew Schleffer (A)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, United States.

Clark Collins (C)

Facilities Services, University of Florida, Gainesville, FL, United States.

John Alfred Bowden (JA)

Department of Physiological Sciences, University of Florida, Gainesville, FL, United States.

Xinsong Du (X)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, United States.

Keval Patel (K)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, United States.

Austin L Ciesielski (AL)

School of Forensic Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.

Zach Ridge (Z)

School of Forensic Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.

Jarrad Wagner (J)

School of Forensic Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.

Bikram Subedi (B)

Department of Chemistry, Murray State University, Murray, KY, United States.

Chris Delcher (C)

Department of Pharmacy Practice & Science, Institute for Pharmaceutical Outcomes and Policy, University of Kentucky, Lexington, KY, United States.

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Classifications MeSH