کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2534210 1559080 2009 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Discriminative stimulus properties of Δ9-tetrahydrocannabinol (THC) in C57Bl/6J mice
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب سلولی و مولکولی
پیش نمایش صفحه اول مقاله
Discriminative stimulus properties of Δ9-tetrahydrocannabinol (THC) in C57Bl/6J mice
چکیده انگلیسی

Primarily, rats have served as subjects in Δ9-tetrahydrocannabinol's (THC) discrimination studies although other species such as monkeys and pigeons have been used. While the introduction of the knockout and transgenic mice has vastly stimulated the study of the discriminative stimulus effects of drugs there is only a single published report of mice trained to discriminate THC. Thus, this study extended those results by providing a systematic replication that THC serves as an effective discriminative stimulus in mice and by further investigating the mechanisms of action involved in the THC discrimination model in the mouse. Male C57BL/6J mice were trained to discriminate 10 mg/kg THC from vehicle in 2-lever drug discrimination. THC fully and dose dependently substituted for itself. Cannabinoid indoles, except one with low cannabinoid CB1 receptor affinity, substituted for THC. Anandamide failed to substitute for THC when administered alone but completely substituted when administered with the non-specific fatty acid amide hydrolase inhibitor, phenylmethylsulphonyl fluoride. As expected, nicotine failed to substitute for THC. Lastly, the cannabinoid CB1 receptor antagonist rimonabant blocked THC's discriminative stimulus effects. Taken together these studies demonstrate THC's ability to produce discriminative stimulus effects as well as demonstrate its pharmacological specificity and mechanism of action in a two-lever drug discrimination mouse model.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Pharmacology - Volume 615, Issues 1–3, 1 August 2009, Pages 102–107
نویسندگان
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