POTENTIAL BENEFITS OF THC AND CBD IN THE TREATMENT OF HOSPICE-ELIGIBLE DEMENTED AND AGITATED PATIENTS
Bibliographic record
Abstract
Abstract Today, half of the patients suffering from Alzheimer’s disease (AD) will use hospice care in the last days of their life. Most of them will present with moderate to severe agitation. In the absence of evidence-based guidelines, Hospice care eligible patients with Agitation and Alzheimer’s disease (AD) or other types of Dementia (HAD) are treated with a combination of antipsychotics, benzodiazepines, and opiates, which generate a variety of side effects. Two cannabinoids, tetrahydrocannabinol (THC) and cannabidiol (CBD), appear to be promising therapies for agitation in HAD with minimal side effects. Specifically, we suggest that a combination of THC and CBD oils have enhanced synergistic effects while maintaining a low side effect profile that the combination may provide. The evidence for this hypothesis will be discussed during the symposium.
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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 | 0.001 | 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) | 0.004 | 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 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".