Psychedelic Salon cover image

Psychedelic Salon

Podcast 535 – “Salvia Divinorum and Other Plants”

Mar 22, 2017
01:29:32
Guest speaker: Terence McKenna A Sequel to DreamLand PROGRAM NOTES: Date this lecture was recorded: August 6, 1998 Today's podcast features an August 6, 1998 talk about Salvia Divinorum given by Terence McKenna at the Esalen Institute. In addition to many interesting facts that Terence presents about Salvia, he tells how Daniel Siebert became the first person to identify the active ingredient of the plant, which eventually led to its widespread use today. In addition to discussing Salvia, Terence also touches on: Ibogaine, magic mushrooms, psychedelic plants, Australia's psychoactive plants, DMT, Greek mystery religions, Datura, LSD, War on Drugs, and language. "I've not done the pure [salvinorin A] compound. It's somewhat scary. One thing that's scary about it is it creates a profound break with reality. The person who is intoxicated totally loses touch with this world, and unlike people on DMT, or ketamine, or some other short-acting psychoactive or dissociative, they won't stay still. People tend to move around and be active, which is a real pain for the sitter. . . . The protocol for dealing with this is the 'tie 'em to a tree' protocol." -Terence McKenna Download MP3 PCs – Right click, select option Macs – Ctrl-Click, select option U.S. State Laws regarding Salvia Divinorum Legal status of Salvia Divinorum worldwide

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode