Product Images Gabitril

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Gabitril NDC 16590-832 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.

Chart 1 - Chart 1

Chart 1 - Chart 1

Chart 2 - Chart 2

Chart 2 - Chart 2

This text shows a graph with a comparison of the % reduction in partial seizure rate between placebo and different doses of GABITRIL. It also includes the % of patients who experienced improvement, no change, or worsening.*

Chart 3 - Chart 3

Chart 3 - Chart 3

This is a graphical representation of the % reduction in partial seizure rate for patients taking different doses of GABITRIL, compared to those taking placebo. The graph shows that neither the 8mg nor 16mg doses of GABITRIL resulted in any reduction in partial seizure rate, whereas placebo resulted in a 50% reduction. The graph also indicates that 3 patients experienced improvement, while some patients experienced no change or worsening.*

Chart 4 - Chart 4

Chart 4 - Chart 4

This is a graph that shows the percentage reduction in partial seizure rate for patients taking placebo, as well as those taking GABITRIL 10 mg TID. The graph also shows the percentage of patients who experienced improvement, no change, or worsening of their condition.*

Label Image - GABITRIL 12MG LABEL

Label Image - GABITRIL 12MG LABEL

Packaged and distributed by TAT & Gainesville. The product has an NDC code of 16590-832-30 and contains tagabine el t2mg and 5% S. The medication is manufactured by Gebhalon and has an expiration date of 11/13.*

Logo - GABITRIL Logo

Logo - GABITRIL Logo

Structure Image - GABITRIL Structure

Structure Image - GABITRIL 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.