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

Nabiximols improves multiple sclerosis spasticity compared to placebo over 12 weeks

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
October 2018

Nabiximols improves multiple sclerosis spasticity compared to placebo over 12 weeks

Vol: 7| Issue: 10| Number:49| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:2
Journal Level of Evidence:N/A

A randomized, double-blind, placebo-controlled, parallel-group, enriched-design study of nabiximols* (Sativex®), as add-on therapy, in subjects with refractory spasticity caused by multiple sclerosis

Eur J Neurol. 2011 Sep;18(9):1122-31. doi: 10.1111/j.1468-1331.2010.03328.x

Contributing Authors:
G Comi S Ratcliffe J Mares A Novotna M Vachova I Novakova P Davies O Zapletalova Z Ambler C Gasperini C Pozzilli L Cefaro P Rossi Z Stelmasiak A Erdmann X Montalban A Klimek

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

Synopsis

241 known responders to nabiximols treatment with multiple sclerosis received nabiximols (2.7 mg THC and 2.5 mg CBD per 100-uL actuation) treatment for 4 weeks, and were then randomized to receive either titrated doses of nabiximols or placebo through an oralmucosal spray over 12 weeks. The purpose of the study was to determine whether Nabiximols is associated with significantly better spasticity ...

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