Evidence map›Paper›PMID 36367203›Full record

ArticleAddiction (Abingdon, England)2023

A wastewater-based evaluation of the effectiveness of codeine control measures in Australia.

Benjamin J Tscharke, Jake W O'Brien, Fahad Ahmed, Lynn Nguyen, Maulik Ghetia, Gary Chan, Phong Thai, Cobus Gerber, Richard Bade, Jochen Mueller and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 2 institutions in 1 country.

Benjamin J TscharkeQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland, Australia.ORCID 0000-0002-3292-3534
Jake W O'BrienQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland, Australia.ORCID 0000-0001-9336-9656
Fahad AhmedQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland, Australia.
Lynn NguyenSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Maulik GhetiaSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Gary ChanNational Centre for Youth Substance Use Research, The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0002-7569-1948
Phong ThaiQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland, Australia.ORCID 0000-0003-0042-3057
Cobus GerberSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Richard BadeSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Jochen MuellerQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland, Australia.
Kevin V ThomasQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland, Australia.
Jason WhiteSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Wayne HallQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland, Australia.ORCID 0000-0003-1984-0096
The University of Queensland · AUUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimFrom 1 February 2018, codeine was rescheduled from an over-the-counter (OTC) to a prescription-only medicine in Australia. We used wastewater-based epidemiology to measure changes in population codeine consumption before and after rescheduling.

methodsWe analysed 3703 wastewater samples from 48 wastewater treatment plants, taken between August 2016 and August 2019. Our samples represented 10.6 million people, 45% of the Australian population in state capitals and regional areas in each state or territory. Codeine concentrations were determined by liquid chromatography-tandem mass spectrometry and converted to per-capita consumption estimates using the site daily wastewater volume, catchment populations and codeine excretion kinetics.

resultsAverage per-capita consumption of codeine decreased by 37% nationally immediately after the rescheduling in February 2018 [95% confidence interval (CI) = 35.3-39.4%] and substantially in all states between 24 and 51% (95% CI = 22.4-27.0% and 41.8-59.4%). The decrease was sustained at the lower level to August 2019. Locations with least pharmacy access decreased by 51% (95% CI = 41.7-61.7%), a greater decrease than 37% observed for those with greater pharmacy access (95% CI = 35.1-39.4%). Regional areas decreased by a smaller margin to cities (32 versus 38%, 95% CI = 30.2-34.1% versus 34.9-40.4%, respectively) from a base per-capita usage approximately 40% higher than cities.

conclusionWastewater analysis shows that codeine consumption in Australia decreased by approximately 37% following its rescheduling as a prescription-only medicine in 2018. Wastewater-based epidemiology can be used to evaluate changes in population pharmaceutical consumption in responses to changes in drug scheduling.

Indexed as

CodeinePharmaciesAnalgesics, OpioidAustraliaHumansNonprescription DrugsWastewaterAnalgesics, OpioidCodeineNonprescription DrugsWastewaterDrug use evaluationpolicy changeprescription opioidregulation changereschedulingwastewater analysis

Identifiers

PMID36367203
PMCPMC10099390
OpenAlexW4308771238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.