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Record W4408865813 · doi:10.2196/60620

Evaluating the Effect of the JUUL2 System With 5 Flavors on Cigarette Smoking and Tobacco Product Use Behaviors Among Adults Who Smoke Cigarettes: 6-Week Actual Use Study

2025· article· en· W4408865813 on OpenAlexvenueno aff
Nicholas I. Goldenson, Saul Shiffman, Mark A. Sembower, Arielle Selya, Steve Pype

Bibliographic record

VenueInteractive Journal of Medical Research · 2025
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsMentholTobacco productMedicineSmokeNicotineElectronic cigaretteEnvironmental healthDemographyToxicologyInternal medicineGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Adults who switch completely from smoking cigarettes to using electronic nicotine delivery systems (ENDS) substantially reduce their exposure to toxicants and carcinogens that are associated with smoking-related diseases. OBJECTIVE: This 6-week actual use study-a prospective uncontrolled real-world study designed to evaluate quasi-naturalistic product use-aimed to assess switching behavior among US adults who smoked cigarettes and were provided with JUUL2 ENDS products. METHODS: US adults who smoked cigarettes every day but were predominantly not ready to quit (N=1160; mean age 39.42, SD 11.03 years; 641/1160, 55.26% female participants; 667/1160, 57.5% non-Hispanic White; mean cigarettes per day 14.11, SD 8.96; only 1% [11/1160] planning to stop smoking within 30 days; and 481/1160, 41.47% dual users) were recruited to use JUUL2 ENDS products (18 mg/mL nicotine) in 1 of 5 flavors in real-world environments for 6 weeks. Participants who expressed sufficient interest in using JUUL2 products were enrolled at 24 different consumer research sites across the United States into one of the two following study arms: (1) traditional flavors (Virginia Tobacco and Polar Menthol, 10 sites); or (2) complex flavors (Autumn Tobacco, Summer Menthol, and Ruby Menthol, 14 sites). No instructions regarding JUUL2 product use or cigarette smoking were provided. After a 1-week trial period, participants were provided with their preferred flavor for 6 weeks of ad libitum use (10 pods per week). In total, 6 weekly web-based surveys were used to assess switching (smoking abstinence) and smoking reduction; dependence and respiratory symptoms were assessed at baseline and week 6. RESULTS: Across the 5 flavor groups at week 6, the rates of complete past-7-day switching away from cigarettes ranged from 38.2% (79/207) to 47.3% (95/201), and 24.3% (55/226) to 33.9% (74/218) of participants reported complete past-30-day switching. Participants who used the 3 menthol-flavored (vs 2 tobacco-flavored) JUUL2 products had significantly higher rates of past-30-day switching at week 6 (odds ratio 1.36, 95% CI 1.04-1.78). Compared to their baseline values when they were smoking, the past-30-day switchers at week 6 had significantly reduced their dependence (mean differences in dependence, cigarettes - JUUL2: 0.57-0.99; P<.001) and self-reported frequency of respiratory symptoms (P<.05). Among participants who continued to smoke at week 6, 50.9% (59/116) to 62.9% (73/116) reduced their daily cigarette consumption by at least 50% from baseline. CONCLUSIONS: Adoption of JUUL2 ENDS products can likely help substantial proportions of US adults who smoke to switch completely away from cigarettes or meaningfully reduce their cigarette consumption, thereby reducing their dependence on tobacco products and improving their respiratory symptoms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.089
GPT teacher head0.451
Teacher spread0.361 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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