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Aims: To estimate recent trends in the prevalence of disposable e‐cigarette vaping in Great Britain, overall and across ages, and to measure these trends in the context of changes in smoking and vaping prevalence. Design: The Smoking Toolkit Study, a monthly representative cross‐sectional survey. Setting: Great Britain. Participants: A total of 36 876 adults (≥ 18 years) completed telephone interviews between January 2021 and April 2022. Measurements Current e‐cigarette vapers were asked which type of device they mainly use. We estimated age‐specific monthly time trends in the prevalence of current disposable e‐cigarette use among vapers and inhaled nicotine use (vaping/smoking), smoking and vaping among adults. Findings From January 2021 to April 2022, there was an 18‐fold increase in the percentage of vapers who used disposables, rising from 1.2 to 22.2% [prevalence ratio (PR) = 18.0; 95% compatibility interval (CI) = 9.18–49.0]. Growth in disposable e‐cigarette vaping was most pronounced in younger adults (interaction P‐value = 0.013): for example, the percentage of 18‐year‐old vapers using disposables rose from 0.4 to 54.8% (PR = 129; 95% CI = 28.5–4520), while it rose from 2.1 to 10.0% (PR = 4.73; 95% CI = 2.06–23.6) among 45‐year‐old vapers. However, the overall percentage of people currently using any inhaled nicotine remained stable over time both among all adults (20.0 versus 21.2%; PR = 1.06; 95% CI = 0.92–1.22) and among 18‐year‐olds (30.2 versus 29.7%; PR = 0.99; 95% CI = 0.80–1.22). In 18‐year‐olds, vaping prevalence grew (11.3 versus 17.7%; PR = 1.57; 95% CI = 1.12–2.29), and there was imprecise evidence for a decline in smoking (24.5 versus 19.5%; PR = 0.80; 95% CI = 0.63–1.04). In 45‐year‐olds, there was relatively little change in vaping (PR = 1.08; 95% CI = 0.88–1.33) or smoking prevalence (PR = 1.01; 95% CI = 0.88–1.16). Conclusions: Use of disposable e‐cigarettes in Great Britain grew rapidly between 2021 and 2022, especially among younger adults, but the overall prevalence of inhaled nicotine use was stable over time. Most young adult vapers in Great Britain now use disposable products. [ABSTRACT FROM AUTHOR]

Background and Aims: The three-question Alcohol Use Disorders Identification Test (AUDIT-C) is frequently used in healthcare for screening and brief advice about levels of alcohol consumption. AUDIT-C scores (0-12) provide feedback as categories of risk rather than estimates of actual alcohol intake, an important metric for behaviour change. The study aimed to (i) develop a continuous metric from the Extended AUDIT-C expressed in United Kingdom (UK) units (8 g pure ethanol), offering equivalent accuracy, and providing a direct estimator of weekly alcohol consumption (EWAC) and (ii) evaluate the EWAC's bias and error using the graduated-frequency (GF) questionnaire as a reference standard of alcohol consumption. Design: Cross-sectional diagnostic study based on a nationally-representative survey. Settings: Community dwelling households in England. Participants: A total of 22 404 household residents aged =16 years reporting drinking alcohol at least occasionally. Measurements: Computer-assisted personal interviews consisting of (i) AUDIT questionnaire with extended response items (the 'Extended AUDIT') and (ii) GF. Primary outcomes were: mean deviation <1 UK unit (metric of bias); root-mean-square deviation <2 UK units (metric of total error) between EWAC and GF. The secondary outcome was the receiver operating characteristic area under the curve for predicting alcohol consumption in excess of 14 and 35 UK units. Findings: EWAC had a positive bias of 0.2 UK units (95% CI = 0.08, 0.4) compared with GF. Deviations were skewed: whereas the mean error was 11 UK units/week [9.5, 11.9], in half of participants the deviation between EWAC and GF was between 0 and 2.1 UK units/week. EWAC predicted consumption in excess of 14 UK units/week with a significantly greater area under the curve (0.918 [0.914, 0.923]) than AUDIT-C (0.870 [0.864, 0.876]) or the full AUDIT (0.854 [0.847, 0.860]). Conclusions: A new estimator of weekly alcohol consumption, which uses answers to the Extended AUDIT-C, meets the targeted bias tolerance. It is superior in accuracy to AUDIT-C and the full 10-item AUDIT when predicting consumption thresholds, making it a reliable complement to the Extended AUDIT-C for health promotion interventions. [ABSTRACT FROM AUTHOR]

Mental imagery manipulations are used to treat several psychological disorders, but their utility in treating cocaine use disorder (CUD) is unknown. Using prompted re‐experiences and simulations with contrasting valence, we assessed the acute impact of a deliberate mental imagery task on cocaine craving. Design A quantitative–qualitative 'mixed‐methods' analysis of data collected for a randomized controlled trial that was stopped prematurely. Setting: UK National Health Service addictions treatment clinic and outpatient clinical research facility (laboratory). Participants: Adults with CUD. The original target sample was 120. All participants enrolled at the point the original trial was stopped were included (38 enrolled, 31 completed study). Interventions: Personalized (3‐minute) cue–exposure (handling cocaine paraphernalia and watching video of drug preparation), immediately followed by a single 5‐minute, audio‐recorded, self‐guided and verbally described imagery task with random assignment to one of four conditions: two mental imagery memory re‐experiences (positive image before initiation to cocaine use or a negative image of a 'worst time' adverse cocaine use episode) or two future simulations (positive theme of recovery from CUD or negative theme of worsened CUD). Measurements Task transcripts were rated for imagery detail using five dimensions using a six‐point scale of imagery detail (ID) (total score = 0–25) and thematically coded. The outcome measure was cocaine craving using the Craving Experiences Questionnaire—strengths version (CEQ–S11; score = 0–110) reported at baseline, arrival at the laboratory, and immediately after the cue–exposure and mental imagery tasks. Findings A mixed‐effects, longitudinal, restricted linear regression, with the past‐positive imagery condition as referent, showed main effects of reduced craving after the imagery task (b = –29.2, 95% confidence interval (CI) = –45.3 to −13.1, P‐value < 0.001) and increased craving for the future‐negative task (b = 14.2, 95% CI = 0.1–28.4, P‐value 0.049). There was a future‐negative task by post‐imagery craving interaction (b = 28.1, 95% CI = 0.1–56.1, P‐value 0.049). A theory‐driven, deductive/inductive qualitative analysis of the transcripts revealed six major themes: sensory characteristics, CUD vicious cycle, self‐care, emotions and appraisals, social role and CUD recovery. Positively themed simulations included interpersonal connections and rewarding activity; negative images included personal adversity, with appraisals of self‐criticism and hopelessness. Transcripts with more imagery detail were not associated with significantly greater reductions in craving in the positive or negative imagery task (r = –0.32, 95% CI = –0.69 to 0.13 and r = 0.06, 95% CI = –0.58 to 0.53, respectively). Conclusion: In people with cocaine use disorder, after cue–exposure, a self‐guided imagery task with positive themes reduced craving, whereas mental imagery simulating worsened cocaine use disorder did not appear to. [ABSTRACT FROM AUTHOR]