TETRAHYDROCANNABINOL AND CEREBRAL BLOOD FLOW

研究了大麻对CBF和相关变量的急性影响， 35名正常男性志愿者 受试者来实验室3次，访视 至少相隔一周。 在每次访问期间，测量CBF 术前1次，术后3次（30分钟、60分钟和120分钟） 吸食高效能大麻香烟（THC = 3.55%），低效能 大麻香烟（THC = 1.75%）和安慰剂香烟的双盲 基础 脑血流量显著增加，30 min达高峰， 大麻;安慰剂后没有变化。 大麻后CBF增加 在额叶和右半球最为明显。 CBF时间 病程与THC血浆水平不平行，THC血浆水平在5分钟左右达到峰值 在开始吸烟后， 15分钟 吸食大麻后，脉搏和呼吸频率增加 显著 潮气末一氧化碳增加，但二氧化碳未增加 程度. 额部皮肤血流量无明显变化。 自我 在吸食大麻30分钟后，中毒程度达到顶峰。 状态焦虑在吸食大麻后呈上升趋势， 焦虑表现出非常显著的增加。 时间崩解 人格解体量表和人格否认量表的得分都非常显著 大麻之后的增长 逐步多元回归分析 确定血浆THC水平是唯一显著的 大麻后CBF的生理/生化预测因子。 评定量表 在组合模型中，被证明是CBF变化的更重要的预测因子 包括评定量表和生理指标。

The acute effect of marijuana on CBF and relevant variables was examined in 35 normal male volunteers. Subjects came to the laboratory 3 times, visits were separated by a minimum of 1 week. During each visit, CBF was measured once before and 3 times after (30 minutes, 60 minutes and 120 minutes) smoking a high-potency marijuana cigarette (THC = 3.55%), low-potency marijuana cigarette (THC = 1.75%) and placebo cigarette on a double-blind basis. CBF showed significant increase which peaked 30 min after marijuana; no changes were seen after placebo. Post-marijuana CBF increase was most marked in the frontal lobe and in the right hemisphere. CBF time course did not parallel that of THC plasma levels which peaked around 5 min after commencement of smoking and came down substantially within the first 15 minutes. After marijuana, pulse rate and respiratory rate increased significantly. End tidal carbon monoxide increased but not carbon dioxide levels. Forehead skin blood flow did not show appreciable changes. Self- ratings of intoxication peaked after 30 minutes of marijuana smoking. State anxiety showed a trend towards increase after marijuana while somatic anxiety showed a highly significant increase. Temporal Disintegration Inventory and Depersonalization Inventory showed highly significant increases after marijuana. Stepwise multiple regression analysis identified plasma levels of THC as the only significant physiological/biochemical predictor of post-marijuana CBF. Rating scales proved to be more significant predictors of CBF change in a combined model which included rating scales and physiological indices.