Bibliographic record
Abstract
Beta-blockers (β-blockers) are pharmacotherapeutics that have been used to treat patients with cardiovascular symptoms since their discovery in the 1960s. They work by targeting B1 and B2 receptors which are involved the stress response, which consequently lead to reduced activation of the “flight-or-fight mechanism”. It has also been noticed that β-blockers can be beneficial in treating anxiety disorders and other mental health complications. Currently, the only approved drugs for anxiety and other mental health conditions include benzodiazepines and selective serotonin reuptake inhibitors. Historically, there has been strong resistance to the use of β-blockers in mental health treatment because of the prevalence of depressive symptoms during treatment. Recently, a growing number of studies have seen that there is no strong relationship between β-blockers and depression in patients. Although there are still other adverse effects related to the usage of β-blockers, investigating the relationship between depressive symptoms and β-blockers may suggest a potential therapeutic option in mental health treatments. This review explores the history of β-blockers, their mechanism of action, developments in their use as a mental health treatment and current approved pharmacotherapeutics for mental health.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".