Researchers from SUNY Downstate Health Sciences University and McGill University published a paper in the journal Science Advances proposing a unique method for better understanding the interaction between hallucinogenic drugs, people’s brains, and different types of psychedelic experiences.

They did this by using artificial intelligence to look at real-life accounts of psychedelic experiences and compare them to how human brain chemistry engages with drugs on a molecular level.

However, while the researchers’ methods and goals push the envelope forward on understanding how psychedelics can help or harm individuals, the data they use could be unreliable.