Effects of Haloperidol Pretreatment on the Smoking-Induced EEG/Mood Activation Response Profile
Bibliographic record
Abstract
This study examined the role of dopamine in modulating the CNS response to cigarette smoking. In a randomized, double-blind, repeated-measures design, quantitative electroencephalographic (EEG) changes and self-reports induced by the smoking of a single cigarette were assessed in 16 smokers following pretreatment with placebo and a dopamine antagonist, haloperidol (2 mg). Following placebo pretreatment, absolute (muV) and relative (%) amplitudes in slow-frequency bands (delta, theta, alpha1) were reduced and absolute and relative amplitudes in fast-frequency bands (alpha2, beta) were increased following cigarette smoking as compared to sham smoking. Haloperidol pretreatment inhibited the smoking-induced increase in absolute beta frequency. Self-ratings indicated that cigarette smoking induced increases in alertness, contentedness and calmness but not euphoria, and reduced cigarette cravings as compared to the sham smoking conditions. Smoking-induced, alpha2 increments were associated with increases in alertness and decreases in euphoria while beta increments were associated with increased calmness. Smoking-related self-ratings of mood and cigarette acceptability were not altered by haloperidol, but subjects were less content overall in the haloperidol condition as compared to placebo. Discussion of these results focuses on transmitter systems and their relationship to neuro-electric and behavioural activities associated with the smoking habit.
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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 | 0.000 | 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 | 0.000 |
| 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 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".