Effect of Flavored on! Nicotine Pouch Products on Smoking Behaviors: Protocol for a Sequential, Multiple Assignment, Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Cigarette smoking is a leading cause of morbidity and mortality. For adults who smoke cigarettes and cannot or will not quit smoking, smoke-free products, such as nicotine pouches, have been recognized as a potential alternative to smoking combusted cigarettes to reduce harm due to cigarette smoking. The role of flavors in these smoke-free products in tobacco harm reduction has not been fully understood. OBJECTIVE: This study evaluates the effect of flavors in on! nicotine pouch products (research products) in the reduction of cigarette smoking among adults who smoke cigarettes in their natural environment. METHODS: This study uses a sequential, multiple assignment, randomized trial design. Approximately 400 eligible adults who smoke cigarettes will be enrolled and randomized to have access to either the Original (unflavored) on! nicotine pouch product only or a complete flavor profile (ie, Berry, Cinnamon, Citrus, Coffee, Mint, Original, and Wintergreen) of on! nicotine pouch products. After 3 weeks, participants in the Original-only arm will be randomized again, with half remaining in the Original-only arm and half having access to the complete flavor profile for another 3 weeks. Primary outcomes are expired-air carbon monoxide (CO) levels. Secondary outcomes are self-reported cigarette consumption and CO-verified cigarette abstinence. RESULTS: Recruitment and data collection started in September 2023 and is projected to last until March 2025. We anticipate completing the data analysis in 2025. As of May 2024, we have enrolled 314 participants. CONCLUSIONS: This study will provide empirical evidence about the effect that flavor availability in smoke-free products may have in reducing cigarette smoking. TRIAL REGISTRATION: ClinicalTrials.gov NCT06072547; https://clinicaltrials.gov/study/NCT06072547. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56565.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.042 | 0.045 |
| Meta-epidemiology (narrow) | 0.008 | 0.004 |
| Meta-epidemiology (broad) | 0.013 | 0.006 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.095 | 0.016 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".