Valproic Acid
Product Images NDC 63739-253

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Valproic Acid (NDC 63739-253). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Mckesson Corporation Dba Sky Packaging, 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

Figure1 (Figure1)

Figure1 (Figure1)
This appears to be a graph that compares the reduction in CPS (cycles per second) rate between two groups of patients given Divelproex Sodium and Placebo. The graph shows that 50% of patients given Divelproex Sodium showed improvement in CPS rate while the other 50% showed no change or worsening. It is unclear what the actual reduction percentages are, but it seems that Divelproex Sodium may be effective in reducing CPS rate in some patients.*
FDA Label Image

Figure2 (Figure2)

Figure2 (Figure2)
This appears to be a chart or graph showing the percentage of patients who experienced improvement or worsening of some condition at high and low doses. Without additional context, it is not clear what condition is being studied.*
FDA Label Image

Molecular-formula (Molecular Formula)

FDA Label Image

Valpro-acid-label (Valpro Acid Label)

Valpro-acid-label (Valpro Acid Label)
This is a description of a medication called Valproic Acid that comes in capsules of 250mg each. It is important to give the patient a Medication Guide and store it in a tight container. The patient should swallow the capsule whole and check the package insert for additional prescribing information. This medication is distributed by McKesson Corporation and manufactured by Softech Pharma Pyt Ltd in India.*

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