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Eating pattern of morphine dependent rats.

S Yanaura, T Suzuki

Japanese Journal of Pharmacology

|October 1, 1979

Summary

Rats on morphine-admixed food (DAF) developed altered eating patterns, consuming food more frequently as dependence grew. Withdrawal and levallorphan challenges also impacted their feeding behavior, indicating a link between dependence stage and drug intake.

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Area of Science:

Pharmacology
Neuroscience
Animal Behavior

Background:

Understanding drug dependence mechanisms is crucial for developing effective treatments.
The drug-admixed food (DAF) method offers a controlled approach to studying drug self-administration and dependence.
Characterizing precise drug ingestion patterns provides insights into the behavioral adaptations during addiction development.

Purpose of the Study:

To analyze drug ingestion patterns in rats during morphine dependence development using the DAF method.
To investigate how food intake behavior changes during morphine withdrawal and upon challenge with an antagonist.
To correlate observed feeding patterns with the progression of physical dependence.

Main Methods:

Development of an automatic food intake measuring apparatus for precise monitoring.
Administration of morphine-admixed food to rats to induce dependence.
Recording food ingestion patterns during dependence development, withdrawal, and levallorphan challenge.
Comparison of feeding behavior between naive and morphine-treated rats.

Main Results:

Naive rats exhibited intermittent nocturnal feeding, while morphine-treated rats showed prolonged and more frequent eating.
Increased eating frequency in treated rats was observed after 4-5 days of morphine exposure.
During withdrawal, rats gradually resumed regular diet intake at hourly intervals, despite abstinence signs.
Levallorphan challenge initially suppressed feeding in dependent rats, followed by a significant increase in intake.

Conclusions:

Drug ingestion patterns in rats correlate with the stages of morphine dependence development.
The DAF method and automated monitoring effectively capture behavioral changes associated with drug dependence.
These findings contribute to understanding the neurobiological underpinnings of drug-seeking behavior and addiction.

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