Evidence map›Paper›PMID 42035788›Full record

ArticleAddiction (Abingdon, England)2026

High temporal resolution monitoring of illicit drug consumption across England via wastewater analysis.

Helena Rapp-Wright, Keng Tiong Ng, Derryn Grant, William Francis, Margarita White, Dimitris Evangelopoulos, Yuxing Liu, Konstantina Dimakopoulou, Sofia Zafeiratou, Dylan Wood and 5 more

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Helena Rapp-WrightMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Keng Tiong NgMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Derryn GrantMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
William FrancisMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Margarita WhiteMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Dimitris EvangelopoulosMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Yuxing LiuMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Konstantina DimakopoulouDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Sofia ZafeiratouDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Dylan WoodMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Chryshanthi ChristyMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Stav FriedmanMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Timothy W GantMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Klea KatsouyanniMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Leon P BarronMedical Research Council (MRC) Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-5986-3853

Funding

National Institute for Health and Care Research Health Protection Research Unit in Environmental Exposures and HealthNational Institute for Health Research Health Protection Research Unit in Chemical and Radiation Threats and HazardsUK Home Office
6 · The paper itself

Abstract

aimTo monitor community-level consumption of 20 illicit drugs across urban areas of England using wastewater-based epidemiology (WBE) surveillance at high temporal resolution. DESIGN, SETTING, CASES: This study was conducted over a 12-month period in 2022 sampling 24-hour composite wastewater samples at 15 wastewater treatment plants (WWTPs) covering catchment population equivalents ranging from ~100 000 to >1 million. Analysis was conducted using rapid liquid chromatography-tandem mass spectrometry methods. The sampled WWTPs collectively covered 21% of the national population. MEASUREMENTS: Primary data outcomes were the population-normalised daily loads (PNLs) entering the WWTP, estimated population-normalised consumption (both in mg/1000 people/day) and total mass (g/day) of 20 targeted illicit drugs and total mass in each catchment, quantified using suitable drug target residue markers in 1746 wastewater samples. Covariables included temporal indicators (e.g. public holidays, events) and regional factors. Presence, quantity and correlation of WBE-derived drug use data were used to infer drug use patterns.

findingsOf the 20 illicit drugs investigated, 18 were detected in at least one sample. Cocaine exhibited the highest average daily PNL (2770 ± 829 mg/1000 people/day), followed by heroin (382 ± 248), ketamine (287 ± 183), amphetamine (272 ± 268), 3,4-methylenedioxymethamphetamine (MDMA) (80 ± 57) and methamphetamine (60 ± 99) across 2022. When comparing PNLs to Sewage analysis CORe group-Europe (SCORE) and European Drugs Agency WBE data for 109 other WWTPs across Europe from March to May, 2022 cocaine and ketamine PNLs from sites in England were ranked statistically higher [cocaine: Wilcoxon rank-sum test statistic (W) = 971, adjusted P = 0.000115; ketamine: W = 264, adjusted P = 0.0000389]. Importantly, seven English WWTPs recorded higher mean ketamine PNLs than any other European site over the same period in 2022. Temporal spikes in drug consumption aligned with public holidays and major events. A notable decrease in cocaine use coincided with a 3.7-t UK seizure. Strong inter-drug correlations were observed across catchments, particularly for benzoylecgonine/ketamine and benzoylecgonine/cocaethylene. Extrapolation to generate a representative national average consumption estimate is not recommended, as the WWTPs studied were mostly classified as urban areas and found not to be representative of the entire population of England.

conclusionsWastewater analysis revealed widespread and temporally variable illicit drug use across England in 2022, with ketamine use exceeding European levels at multiple sites. The findings highlight wastewater-based epidemiology's capacity to monitor drug use trends and identify community-level impacts of interventions and events.

Indexed as

Illicit DrugsSubstance Abuse DetectionSubstance-Related DisordersWastewaterWater Pollutants, ChemicalCocaineEnglandEnvironmental MonitoringHumansKetamineLiquid Chromatography-Mass SpectrometryTandem Mass SpectrometryWastewater-Based Epidemiological MonitoringCocaineIllicit DrugsKetamineWastewaterWater Pollutants, Chemicalco‐administrationhigh‐throughput analysisillicit drugsketamineLC–MS/MSspatio‐temporal trendswastewater surveillance

Identifiers

PMID42035788
PMCPMC13357825

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.