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Updated: May 30, 2026
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Assessment of Morphine-induced Hyperalgesia and Analgesic Tolerance in Mice Using Thermal and Mechanical Nociceptive Modalities
Published on: July 29, 2014
Using laboratory models to test treatment: morphine reduces dyspnea and hypercapnic ventilatory response
Robert B Banzett1, Lewis Adams, Carl R O'Donnell
1Division of Pulmonary and Critical Care, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA. rbanzett@bidmc.harvard.edu
Summary
Morphine significantly reduced perceived air hunger in healthy volunteers under laboratory conditions. This study validates a model for testing dyspnea treatments, showing opioid effectiveness for breathing discomfort.
Area of Science:
- Physiology
- Pharmacology
- Respiratory Medicine
Background:
- Opioids are frequently prescribed for dyspnea relief, yet clinical evidence remains inconclusive.
- Practice patterns for opioid use in managing dyspnea exhibit considerable variability.
Purpose of the Study:
- To rigorously assess the impact of morphine on subjective dyspnea and objective ventilatory drive.
- To evaluate these effects within a controlled laboratory setting.
Main Methods:
- A randomized, double-blind, placebo-controlled study involving six healthy volunteers.
- Morphine (0.07 mg/kg) or placebo was administered intravenously on separate occasions.
- Dyspnea (air hunger) and ventilatory response to a carbon dioxide (CO2) stimulus were measured under restricted and unrestricted breathing conditions, respectively.
Main Results:
- Morphine administration led to a 65% reduction in breathing discomfort at a standardized CO2 level (P < 0.001).
- Ventilation decreased by 28% under the same conditions (P < 0.01).
- The effects on perceived dyspnea and ventilation were not significantly correlated; placebo showed no effect.
Conclusions:
- A moderate dose of morphine effectively alleviates laboratory-induced dyspnea (air hunger) while causing a modest decrease in ventilation.
- This validated laboratory model demonstrates treatment effects consistent with clinical findings, offering an efficient platform for optimizing therapies before large-scale trials.
