Product Images Tizanidine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Tizanidine NDC 71335-2325 by Bryant Ranch Prepack, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

fig1 - fig1

fig1 - fig1

fig2 - fig2

fig2 - fig2

Improvement in Ashworth Score after administration of 16 mg tizanidine compared to placebo. The evaluation was done at different hours post-dose.*

fig3 - fig3

fig3 - fig3

The text describes a study that evaluates the improvement in Ashworth Score using zanidine as a medication. The mean dose used in the study is 28.6 mg. The study follows participants for a duration of 7 weeks, with the endpoint being the end of the maintenance period at week 7. The last observation carried forward method is used for data analysis.*

Label - lbl713352325

Label - lbl713352325

This text appears to be the description of a medication called Tizanidine tablets. Each tablet contains 4.576 mg of Tizanidine Hydrochloride, which is equivalent to 4 mg of Tizanidine base. The medication may cause dizziness or drowsiness. It is recommended to store the tablets at a temperature between 20°C to 25°C (68°F to 77°F), with excursions permitted between 15°C to 30°C (59°F to 86°F). The tablets should be dispensed in a container that is both tight and light-resistant, using a child-resistant closure. It is important to keep this medication and all drugs out of the reach of children. The National Drug Code (NDC) for this product is 71335-2325-1. The tablets are identified as "tiZANidine Tablets, USP" and come in a pack of 30 tablets. The tablets have been repackaged by Bryant Ranch Prepack, Inc. and are manufactured by Dr. Reddys Laboratories Ltd.*

structure - structure

structure - structure

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.