Naltrexone alteration of the nicotine-induced EEG and mood activation response in tobacco-deprived cigarette smokers.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The neural mechanisms contributing to the arousal-eliciting actions of smoking and nicotine involve multiple neurotransmitter systems. The current study examined the role of opioid neurotransmission in modulating the neuroelectric- and mood-activating response to acute nicotine administration in overnight tobacco-deprived smokers. In a randomized, double-blind, placebo-controlled design involving 18 (10 male, 8 female) overnight tobacco-abstinent smokers, spectrally analyzed electroencephalographic (EEG) activity and subjective reports of mood, euphoria, and smoking withdrawal were assessed in response to nicotine gum (4 mg) after pretreatment with placebo or with 50 mg of the opioid antagonist naltrexone. In addition to reducing withdrawal symptoms and increasing euphoria ratings, as well as subjective alertness in male participants, nicotine induced an EEG arousal response consisting of diffuse slow wave (delta, theta) amplitude reductions, frontal fast alpha wave amplitude increments, and elevations in beta wave amplitude, which were greater in female than in male smokers. Naltrexone attenuated the alerting and euphoric actions of nicotine but did not affect nicotine's ameliorating effects on withdrawal symptoms. Nicotine-induced frontal reductions in delta and global reductions in theta were prevented by naltrexone pretreatment, as were increases in anterior recordings of relative fast alpha. These findings suggest that the opioid system is involved in nicotine-induced subjective and neuroelectric arousal and implicate opioid-cholinergic interactions in the elicitation of these arousal responses to nicotine.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it