Safety and Efficacy of a Traditional Herbal Medicine (Throat Coat <sup>®</sup> ) in Symptomatic Temporary Relief of Pain in Patients with Acute Pharyngitis: A Multicenter, Prospective, Randomized, Double-Blinded, Placebo-Controlled Study
Bibliographic record
Abstract
OBJECTIVE: To investigate the safety and efficacy of Throat Coat) (Traditional Medicinals,) Sebastopol, CA), a traditional demulcent herbal tea, in comparison with a placebo tea in the symptomatic treatment of acute pharyngitis. DESIGN: Multicenter, prospective, randomized, double-blinded, placebo-controlled, two-armed, parallel-group clinical trial. SETTINGS: Three primary care clinics in Duluth, MN, Madison, WI, and Middleton, WI. SUBJECTS: Patients of both genders (>or=18 years of age) with clinical diagnoses of acute pharyngitis. INTERVENTIONS: Patients (n = 60) were randomly assigned to receive 5-8 oz of Throat Coat (n = 30) or a placebo (n = 30), four to six times daily. The study period was 2 to 7 days with a window for the follow-up visit of 2-10 days accounting for the variable duration of sore throat symptoms. OUTCOME MEASURES: Primary efficacy parameter: sum of pain intensity differences (SPID) for pain in throat on swallowing, calculated as the area under the curve (AUC) of pain intensity difference scores (assessed at 1 minute, 5 minutes, 10 minutes, 15 minutes, 20 minutes, and 30 minutes after treatment). Secondary efficacy parameter: total pain relief (TOTPAR), calculated as the AUC from time 0 (baseline) to 30 minutes of pain relief (assessed at 1 minute, 5 minutes, 10 minutes, 15 minutes, 20 minutes, and 30 minutes). RESULTS: Compared to placebo, intensity of throat pain when swallowing was significantly reduced by Throat Coat in intention to treat and valid for efficacy analysis (VEA). Significant differences in change from baseline pain were observed at 5 min (p = 0.007), 10 min (p = 0.005), 15 minutes (p = 0.01), 20 minutes (p = 0.05), and 30 minutes (p = 0.04) after completion of the first dose (VEA analysis). There was a statistically significant improvement of SPID in the Throat Coat-treated group: Least square means +/- standard error of the means (SEM) of SPID were -16.5 +/- 13.9 in the placebo group and -43.8 +/- 11.9 in the Throat Coat-treated group (p = 0.012). TOTPAR was also significantly higher in the Throat Coat-treated group: Least square means +/- SEM of TOTPAR were 32.4 +/- 12.8 in the placebo group and 53.6 +/- 10.9 in the Throat Coat-treated group (p = 0.031). This study shows that Throat Coat is significantly superior to placebo and provided a rapid, temporary relief of sore throat pain in patients with pharyngitis.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".