Product Images Zanaflex

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Product Label Images

The following 6 images provide visual information about the product associated with Zanaflex NDC 16590-871 by Stat Rx Usa Llc, 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.

Label Image - ZANAFLEX 4MG LAB 871

Label Image - ZANAFLEX 4MG LAB 871

This is the description of a medication called Ganesil by a company called Acorda Therapeutic. The medication comes in capsules, with each capsule containing 458 Tzaidie Hel equivalent to 4mg of Tzaniine base. The medication label warns that consuming alcohol with the medication may intensify its effect and advises users to operate machinery with caution. The label also discloses that consuming the medication may cause drowsiness. The medication is packaged in the USA, and its GTY B S TAT RL USA Gresss, while its National Drug Code (NDC) is 16590-871-62 s. No information is available regarding the medication's application or intended use.*

Label Image - ZANAFLEX 6MG LAB 756

Label Image - ZANAFLEX 6MG LAB 756

This is a partial drug label. It contains information about a medication called "e BRSTAT BUSA Gnempe". The drug comes in a capsule form and one capsule contains 0.67mg Tranidine which is equivalent to 6mg tiza base. The label also includes the NDC number, lot number, and other manufacturing information.*

Figure 1 - ZANAFLEX FIG1

Figure 1 - ZANAFLEX FIG1

Figure 2 - ZANAFLEX FIG2

Figure 2 - ZANAFLEX FIG2

Figure 3 - ZANAFLEX FIG3

Figure 3 - ZANAFLEX FIG3

The text describes the improvement in Ashworth Score as a result of the use of Tizanidine at a mean dose of 26.8 mg. It shows the scores at the end of titration, end of maintenance, and endpoint at week 3 and week 7, using the last observation carried forward method.*

Structure Image - ZANAFLEX STRUCTURE

Structure Image - ZANAFLEX 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.