Divalproex Sodium Tablet, Film Coated, Extended Release
Product Images NDC 50090-6074

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Divalproex Sodium (NDC 50090-6074). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by A-s Medication Solutions, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1 (Divalproex Fig1)

Figure 1 (Divalproex Fig1)
The text describes a graph, designated as "Figure 1", showing a comparison between the effectiveness of Divalproex Sodium Delayed-Release Tablets and a placebo in reducing the CPS rate in patients. The graph shows a 50% reduction in CPS rate for patients taking Divalproex Sodium, with some patients showing improvement, no change, or worsening.*
FDA Label Image

Figure 2 (Divalproex Fig2)

Figure 2 (Divalproex Fig2)
The text describes a figure labeled as "Figure 2" which shows the % reduction in CPS rate of high dose and low dose divalproex sodium delayed-release tablets. The figure displays a graph with a horizontal axis labeled as "% of patients" and a vertical axis labeled as "Improvement, No Change, Worsening". The graph displays the percentage of patients who experienced improvement, no change, or worsening in CPS rate with the different doses of divalproex sodium delayed-release tablets.*
FDA Label Image

Fig-3 (Divalproex Fig3)

Fig-3 (Divalproex Fig3)
This is a list of numerical data and the name of a medication, Divalproex Sodium Extended-Release Tablets. No additional information is available.*
FDA Label Image

Chemical Structure (Divalproex Str)

FDA Label Image

Label Image (Lbl500906074)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.