TETRAHYDROCANNABINOL AND CEREBRAL BLOOD FLOW

研究了大麻对脑血流量及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，探视 至少相隔1周。在每次访问期间，测量CBF。 前一次，后三次(30分钟、60分钟和120分钟) 吸一支高效力大麻烟(THC=3.55%)，低效力 大麻香烟(THC=1.75%)和安慰剂香烟在双盲上 基础。脑血流量明显增加，30min后达高峰 大麻；服用安慰剂后未见变化。吸食大麻后脑血流量增加 最明显的部位是额叶和右半球。CBF时间 病程与5分钟左右达到峰值的血浆THC水平并不平行 开始吸烟后，并在第一个月内大幅下降 15分钟。吸食大麻后，脉搏和呼吸频率增加 意义重大。呼气末一氧化碳增加，但二氧化碳没有增加 级别。额部皮肤血流量无明显变化。自我- 吸食大麻30分钟后，醉酒评分达到顶峰。 状态焦虑在吸食大麻后呈上升趋势，而躯体焦虑呈上升趋势 焦虑情绪呈非常显著的上升趋势。时间崩解 清单和去人格化清单显示非常显著 吸食大麻后会增加。逐步多元回归分析 发现血浆中THC水平是唯一显著的 大麻后脑血流量的生理/生化预测指标。评分表 事实证明，在组合模型中，CBF变化的预测因子更显著 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.