The acute effects of nicotine on the subjective and behavioural responses to denicotinized tobacco in dependent smokers
Bibliographic record
Abstract
Both nicotine and various non-nicotine smoking factors are believed to contribute to tobacco addiction but their relative roles remain incompletely understood. This study aimed to help clarify these roles by examining acute interactions between nicotine and denicotinized tobacco (DT). During two randomized blinded sessions, the effects of a quick-release 4 mg nicotine lozenge (NL) versus placebo lozenge (PL) on the subjective and behavioural responses to DT were examined in 27 (14 men) dependent, daily smokers. Participants were administered NL or PL for 30 min before receiving one initial DT cigarette. Participants could then earn additional DT cigarette puffs over the following 60 min. Subjective state was assessed using the Questionnaire of Smoking Urges-Brief and visual analogue scales at baseline, postlozenge and postinitial DT cigarette. Relative to PL, NL was associated with increased alertness as well as with reduced levels of DT self-administration (P<0.01). The administration of a single DT cigarette was followed by a reduction in craving under both lozenge conditions (P<0.001), an effect that was significantly greater in women (P<0.01). Moreover, DT administration was associated with increased ratings of 'pleasant', 'satisfied', 'stimulated' and 'relaxed', as well as with decreased ratings of 'anxious' (P's<0.01), independent of lozenge condition. The findings suggest that both nicotine and non-nicotine smoking factors may make important contributions towards the addictive properties of tobacco.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".