Escalating Doses of Transdermal Nicotine in Heavy Smokers
Bibliographic record
Abstract
Fixed-dose nicotine replacement therapy (NRT) is efficacious for smoking cessation in the general population of smokers. However, it is less effective in populations with psychiatric comorbidities and/or severe tobacco dependence where the percent nicotine replacement is suboptimal. The objective of this pilot study was to determine the effectiveness of nicotine patch dose titration in response to continued smoking in heavily dependent smokers with psychiatric comorbidity. In a single-arm, open-label study adult smokers (mean cigarettes per day, 25.4 ± 13.4; range, 14-43; n = 12) willing to quit were treated with escalating doses of transdermal nicotine and brief counseling intervention if they continued to smoke over a 9-week treatment period. Plasma nicotine and cotinine, along with expired carbon monoxide levels, and the subjective effects of smoking, urge to smoke, demand elasticity, and mood symptoms were also assessed. The mean NRT dose was 32.7 (SD, 16.4) mg/d (range, 7-56 mg/d). Smokers reported significant reductions in both cigarettes per day (mean decrease, 18.4 ± 11.5) confirmed by expired carbon monoxide (mean decrease, 13.5 ± 13.0) with no significant changes in plasma nicotine concentrations during the course of NRT dose titration. There were significant effects on the subjective effects of smoking and measures of smoking behavior. Most commonly reported adverse events were respiratory infections, skin irritation at patch site, nausea, and sleep disturbances, which were generally mild and transient. Titrating doses of NRT to effect with brief intervention hold promise as an effective clinical strategy to assist heavily dependent psychiatrically ill smokers to change their smoking behavior.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".