To unlock this feature and to subscribe to our weekly evidence emails, please create a FREE orthoEvidence account.

SIGNUP

Already Have an Account?

Loading...
Visit our Evidence-Based Covid-19 Website and Stay Up to Date with the latest Research.
Ace Report Cover

Buccally Absorbed Cannabidiol for Pain Control After Arthroscopic Rotator Cuff Repair

Download
Share
Reprints
Cite This
About
+ Favorites
Download
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
September 2022

Buccally Absorbed Cannabidiol for Pain Control After Arthroscopic Rotator Cuff Repair

Vol: 292| Issue: 1| Number:1| ISSN#: 2564-2537
Study Type:Therapy
OE Level Evidence:1
Journal Level of Evidence:1

Buccally Absorbed Cannabidiol Shows Significantly Superior Pain Control and Improved Satisfaction Immediately After Arthroscopic Rotator Cuff Repair: A Placebo-Controlled, Double-Blinded, Randomized Trial

Am J Sports Med. 2022 Sep;50(11): 3056-3063.

Contributing Authors:
MJ Alaia ET Hurley K Vasavada DH Markus B Britton G Gonzalez-Lomas AS Rokito LM Jazrawi K Kaplan

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

Synopsis

101 patients undergoing an arthroscopic rotator cuff repair were randomized to receive 14 days of buccally absorbed cannabidiol (CBD; n=54; 25mg dose to those ≤80kg, 50mg dose to those >80 kgs) or placebo (n=47) for the control of postoperative pain. The primary outcome of interest was pain intensity measured with a Visual Analog Scale (VAS). Secondary outcomes of interest included patient satisfa...

CME Image

Did you know that you’re eligible to earn 0.5 CME credits for reading this report!

LEARN MORE

Join the Conversation

Please Login or Join to leave comments.

Learn about our AI Driven
High Impact Search Feature

High Impact Icon

Our AI driven High Impact metric calculates the impact an article will have by considering both the publishing journal and the content of the article itself. Built using the latest advances in natural language processing, OE High Impact predicts an article’s future number of citations better than impact factor alone.

Continue