Efficacy of high-dissolution turmeric-sesame formulation for pain relief in adult subjects with acute musculoskeletal pain compared to acetaminophen
Bibliographic record
Abstract
BACKGROUND: Acetaminophen (paracetamol) is one of the most commonly used over-the-counter for pain relief. Management of acute pain with plant-based nutrients has remained suboptimal due to an absence of data supporting acute relief of pain. In the present study, it was hypothesized that high-dissolution liquid treatment of black sesame extract oil, Curcuma longa and Boswellia serrata may provide pain relief in people with acute musculoskeletal pain as quickly as acetaminophen. METHODS: In this randomized active controlled open label study, 88 healthy subjects with acute musculoskeletal pain were randomized to receive treatment capsule (Rhuleave-K; 1,000 mg/d) or 1,000 mg/d acetaminophen for 7 days. Change in pain intensity and pain relief at first 6 hours, 3 days, and 7 days were measured. The onset of analgesia was measured by perceptible pain relief and meaningful pain relief. Other measures were McGill Pain Questionnaire and Patient Global Impression Change. RESULTS: The treatment formulation resulted in average magnitude of pain relief comparable to the acetaminophen. Sixty-six percent of subjects in the treatment group reported positive response in pain relief (≥50% max TOTPAR; total pain relief) after 6 hours, compared to 73% of control. Seventy-three percent of subjects on treatment were considered positive responders, compared to 80% in the control group. The average time of onset of analgesia was 1 hour for the treatment group, versus 0.83 hour for control. At the end of day 3 and 7, there was significant improvement (P < .001 for day 3 and day 7) in the pain condition of treatment group and was comparable to control (P = .436 for day 3 and P = .529 for day 7). The total McGill Pain score showed significant reduction in pain with the treatment irrespective of the pain intensity statistically equal (P = .468) to control. Both the groups were equal in providing sensory pain relief (P = .942), but the treatment was 8.57 times significantly better (P = .027) than acetaminophen in reducing the unpleasantness and emotional aspects (affective domain) involved with acute pain. CONCLUSION: The results showed that the treatment used in the study may act as a natural, fast acting, and safe alternative for acute pain relief comparable to acetaminophen.
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".