Investigating the effects of norepinephrine α1 receptor blockade on dopamine levels: A pilot PET study with [<sup>11</sup>C]‐(+)‐PHNO in controls
Bibliographic record
Abstract
Abstract Interest in a role for norepinephrine (NE) in substance use disorders has increased over recent years. In particular, its interaction with dopamine (DA) is of importance. In this study, positron emission tomography (PET) was used to explore the impact of prazosin (an alpha 1 NE antagonist) on DA levels. Healthy volunteers were administered prazosin for approximately 4 weeks at the daily dose of 15 mg to reach steady state. Participants were scanned with PET imaging and the [ 11 C]‐(+)‐PHNO tracer at baseline (before prazosin), at steady state, and after a wash out period. Prazosin administration was associated with an increase of [ 11 C]‐(+)‐PHNO binding potential in the dorsal caudate relative to baseline, which corresponds to a decrease in DA levels. This study is the first to demonstrate interactions between DA and NE in healthy humans.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".