Evidence map›Paper›PMID 31919800›Full record

ArticleJournal of medical toxicology : official journal of the American College of Medical Toxicology2020

Rapid Assessment of Opioid Exposure and Treatment in Cities Through Robotic Collection and Chemical Analysis of Wastewater.

Norkio Endo, Newsha Ghaeli, Claire Duvallet, Katelyn Foppe, Timothy B Erickson, Mariana Matus, Peter R Chai

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  6. Groundbreaking Research from NIDA Addressing the Challenges of the Opioid Epidemic.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2025
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  11. Adaptive interventions for opioid prescription management and consumption monitoring.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  12. "Waste Not, Want Not" - Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2021
    Article
  13. Review
  14. Analysis of 39 drugs and metabolites, including 8 glucuronide conjugates, in an upstream wastewater network via HPLC-MS/MS.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2021
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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

7 authors at 1 institution in 2 countries.

Norkio EndoBiobot Analytics, Inc., Somerville, USA.
Newsha GhaeliBiobot Analytics, Inc., Somerville, USA.
Claire DuvalletBiobot Analytics, Inc., Somerville, USA.
Katelyn FoppeBiobot Analytics, Inc., Somerville, USA.
Timothy B EricksonDivision of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA, 02115, USA.
Mariana MatusBiobot Analytics, Inc., Somerville, USA. mariana@biobot.io.
Peter R ChaiDivision of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA, 02115, USA.ORCID 0000-0003-0955-4117
Brigham and Women's Hospital · US

Funding

MyTPill: A Novel Strategy to Monitor Antiretroviral Adherence among HIV+ Prescription Opioid UsersR01DA047236 · NIDA · OHIO STATE UNIVERSITY · PI BOYER, EDWARD W, CARRICO, ADAM WAYNE · 2019 to 2022
$3.0M
A novel robotic wastewater analysis system to quantify opioid exposure and treatment in residential communitiesR44DA051106 · NIDA · BIOBOT ANALYTICS, INC. · PI CHAI, PETER R, MATUS GARCIA, MARIANA G · 2020 to 2022
$1.5M
Development of Ingestible Biosensors to Enhance PrEP Adherence in Substance UsersK23DA044874 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2018 to 2022
$1.0M
NIDA NIH HHS K23 DA044874NIDA NIH HHS R01 DA047236NIDA NIH HHS R01DA047236
6 · The paper itself

Abstract

introductionAccurate data regarding opioid use, overdose, and treatment is important in guiding community efforts at combating the opioid epidemic. Wastewater-based epidemiology (WBE) is a potential method to quantify community-level trends of opioid exposure beyond overdose data, which is the basis of most existing response efforts. However, most WBE efforts collect parent opioid compounds (e.g., morphine) at wastewater treatment facilities, measuring opioid concentrations across large catchment zones which typically represent an entire municipality. We sought to deploy a robotic sampling device at targeted manholes within a city to semi-quantitatively detect opioid metabolites (e.g., morphine glucuronide) at a sub-city community resolution.

methodsWe deployed a robotic wastewater sampling platform at ten residential manholes in an urban municipality in North Carolina, accounting for 44.5% of the total municipal population. Sampling devices comprised a robotic sampling arm with in situ solid phase extraction, and collected hourly samples over 24-hour periods. We used targeted mass spectrometry to detect the presence of a custom panel of opioids, naloxone, and buprenorphine.

resultsTen sampling sites were selected to be a representative survey of the entire municipality by integrating sewer network and demographic GIS data. All eleven metabolites targeted were detected during the program. The average morphine milligram equivalent (MME) across the nine illicit and prescription opioids, as excreted and detected in wastewater, was 49.1 (standard deviation of 31.9) MME/day/1000-people. Codeine was detected most frequently (detection rate of 100%), and buprenorphine was detected least frequently (12%). The presence of naloxone correlated with city data of known overdoses reversed by emergency medical services in the prehospital setting.

conclusionWastewater-based epidemiology with smart sewer selection and robotic wastewater collection is feasible to detect the presence of specific opioids, naloxone, methadone, and buprenorphine within a city. These results suggest that wastewater epidemiology could be used to detect patterns of opioid exposure and may ultimately provide information for opioid use disorder (OUD) treatment and harm reduction programs.

Indexed as

Environmental MonitoringOpioid EpidemicRoboticsAdultAnalgesics, OpioidFeasibility StudiesFemaleHumansMaleMass SpectrometryMiddle AgedNaloxoneNarcotic AntagonistsNorth CarolinaOpioid-Related DisordersSolid Phase ExtractionAnalgesics, OpioidNaloxoneNarcotic AntagonistsWastewaterWater Pollutants, ChemicalData visualizationDrug abuseMapNaloxoneOpioidsOverdoseRobotWaste water

Identifiers

PMID31919800
PMCPMC7099105
OpenAlexW3000076514

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.