ArticleJAMA network open2026
National Wastewater Surveillance of Illicit Tobacco and Vaping Use Trends in Australia.
Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Australia is leading the world in efforts to reduce tobacco use by implementing high cigarette taxes and restrictive regulations on nicotine vaping products. However, concerns have emerged that these policies may unintentionally drive the expansion of illicit tobacco and vaping markets, potentially undermining public health gains. Objectives: To assess spatial and temporal changes in total nicotine, tobacco-derived nicotine, and illicit tobacco use across Australian regions of different remoteness from 2017 to 2023. Design, Setting, and Participants: This longitudinal, cross-sectional wastewater study was performed from April 2017 to April 2023. Wastewater samples were collected from as many as 55 wastewater treatment plants (WWTPs) in Australia, including 3 remoteness levels: major cities, inner regional, and outer regional to remote areas. The selected WWTPs serve more than 50% of the Australian population. Main Outcomes and Measures: Nicotine metabolites (cotinine and hydroxycotinine) and the tobacco-specific alkaloid (anabasine) were analyzed in wastewater samples using a validated liquid-chromatography tandem mass spectrometry method. Total nicotine and tobacco-derived nicotine consumption were back-estimated. Illicit tobacco use was identified in combination with the tobacco sales data. Results: Wastewater samples collected across Australia, representing 14 million people, were analyzed for back-estimation. Total nicotine consumption declined fastest in outer regional to remote areas (-2.2% annually; 95% CI, -3.2% to -1.1%), followed by inner regional areas (-1.4% annually; 95% CI, -2.1% to -0.8%), and remained stable in major cities. By comparison, tobacco-derived nicotine consumption decreased faster in major cities (-5.0% annually; 95% CI, -8.3% to -1.9%) and inner regional areas (-9.8% annually; 95% CI, -12.5% to -7.3%) than in the outer regional to remote areas (-2.3% annually; 95% CI, -6.0% to 1.8%). Illicit tobacco use was estimated to have increased from 1350 to 3400 tons from 2017 to 2023. Conclusions and Relevance: In this cross-sectional study of wastewater surveillance in Australia, different trends of tobacco use were observed across regions, accompanied by increasing use of illicit tobacco and vaping products. These findings provide evidence for future tobacco and vaping control policies. Ongoing wastewater monitoring is essential for evaluating new tobacco and vaping product control measures implemented in 2024.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.