Inhaled DMT, a classic psychedelic, produces short but profound shifts in consciousness. In 35 healthy volunteers, electroencephalography recorded before and during the drug's acute effects in a natural setting showed marked reductions in alpha and beta brain oscillations and increases in delta, theta, and gamma power, particularly in posterior regions. The power of fronto-temporal theta oscillations inversely correlated with feelings of unity and transcendence—core features of mystical-type experiences. These findings suggest that baseline brain activity prior to psychedelic use may help predict the likelihood of such experiences, which are linked to lasting well-being and improved therapeutic outcomes.
Low doses of psilocybin (microdoses) can be detected in natural speech. In a double-blind, placebo-controlled experiment, participants given 0.5 g of psilocybin mushrooms showed significant differences in verbosity and sentiment scores compared to placebo, though semantic variability did not differ. Machine learning classifiers using these speech metrics distinguished between the psilocybin and placebo conditions with high accuracy (AUC≈0.8). These findings suggest that unconstrained natural language may serve as a practical, low-cost tool for monitoring microdosing effects, addressing limitations of existing questionnaires designed for larger psychedelic doses.