Reefer Songs

Reefer Songs is a 1989 compilation album of jazz songs about drugs from the 1920s, 1930s, and 1940s. It features notable artists and musicians of the period, including Ella Fitzgerald, Chick Webb, Cab Calloway, Sidney Bechet and Benny Goodman. Although jive / cannabis is the main drug cited here, cocaine, benzedrine (amphetamine) and heroin are also mentioned.[3]

Reefer Songs
Compilation album by
Various artists
Released1989 (1989)
RecordedJune 17, 1932 – November 2, 1945[1]
GenreJazz, blues
Length1:09:08
LabelStash,
Mojo Records cat# MOJO 302[2]

Track listing

  1. "Reefer Man"
  2. "Man from Harlem"
  3. "Here Comes the Man with the Jive"
  4. "If You're a Viper"
  5. "Texas Tea Party"
  6. "Light Up"
  7. "Jack, I'm Mellow"
  8. "Sweet Marijuana Brown"
  9. "Viper Mad"
  10. "The Weed Smoker's Dream (Why Don't You Do Right)"
  11. "The 'G' Man Got the 'T' Man"
  12. "All the Jive Is Gone"
  13. "The Stuff Is Here"
  14. "Wacky Dust"
  15. "Who Put the Benzedrine in Mrs. Murphy's Ovaltine?"
  16. "Jerry the Junker"
  17. "Reefer Song"
  18. "Lotus Blossom"
  19. "Willie the Chimney Sweeper"
  20. "Weed"
  21. "Save the Roach for Me"
  22. "Knockin' Myself Out"
  23. "Minnie the Moocher"
gollark: REAL men send a specially crafted set of data and stall it until precisely the right time so that the random number generator will pick them.
gollark: just use the ANALYTICSpanelâ„¢
gollark: For a cheaper alternative, you can use those vaguely knockoffy Banana Pis and Orange Pis.
gollark: 1. get a Raspberry Pi through Amazon or something, the Raspberry Pi 4 is recommended2. obtain apples3. grind up the apples into small apple fragments4. place the raspberry pi into the apple fragments5. a displacement reaction should occur, converting the raspberry pi into an apple pi(e) and producing a raspberry precipitate
gollark: That actually seems really useful and it seems weird that nobody thought of this before. Maybe it could list the text scale too.

References

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.