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P113 Efficacy and safety of nalbuphine extended-release in refractory chronic cough: results from the phase 2a RIVER trial

2025· article· W4416104332 on OpenAlexaff
JA Smith, Kenneth R. Chapman, Imran Satia, Émilie Millaire, SM Parker, Lorcan McGarvey, Alyn H. Morice, P Marsden, SS Birring, Alice Turner, Margaret Garin, James V. Cassella

Bibliographic record

Venuenot available
Typearticle
Language
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsUniversité de MontréalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsChronic coughRefractory (planetary science)PlaceboCough reflexSalbutamolCrossover studyClinical endpoint

Abstract

fetched live from OpenAlex

Introduction and Objectives Refractory chronic cough (RCC) persists despite guideline-based treatment for any comorbid cough-associated conditions and carries a high burden of disease and impact on patients’ lives. Nalbuphine extended-release (NAL ER, oral tablet form) is a kappa receptor agonist and mu receptor antagonist which acts on the cough reflex arc centrally and peripherally, targeting opioid receptors involved in chronic cough. The RIVER trial (NCT05962151) evaluated NAL ER in patients with refractory chronic cough (RCC). Methods This double-blind, placebo (PBO)-controlled, crossover study enrolled patients with RCC stratified into 2 subgroups based on 24-h cough frequency at screening (10–19 coughs/h [moderate] and ≥20 coughs/h [severe]) measured by a cough monitor. Patients were randomly assigned to one of two 21-day treatment sequences: NAL ER to PBO or PBO to NAL ER, with a 21-d washout between treatment periods. NAL ER was titrated every 7 d (27 mg, 54 mg, and 108 mg, all BID). The primary endpoint was relative change from baseline in 24-h objective cough frequency at day 21 in all patients. Results Sixty-six patients were randomized (mean age, 60.2 y; mean cough frequency, 34.7 coughs/h). There was a significant difference in the relative change from baseline in 24-hour cough frequency with NAL ER 108 mg compared to PBO (-65% and -9%, respectively with a PBO-adjusted improvement of 57%; P<.0001; figure 1). Cough frequency subgroups of 10–19 and ≥ 20 coughs/hr achieved PBO-adjusted improvements of 75% and 51%, respectively (both P<.0001), with NAL ER at day 21 (108 mg). Significant reductions in 24-h cough frequency occurred at day 7 with 27-mg NAL ER BID (P<.0001). No serious treatment-emergent adverse events (TEAEs) were reported; 10 patients discontinued treatment due to TEAEs. The most common (≥10%) TEAEs were constipation, somnolence, nausea, dizziness, headache, and fatigue. Conclusions The significant reduction in 24-h cough frequency supports further investigation of NAL ER for RCC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.028
GPT teacher head0.354
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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