Gabapentin Capsule
Product Images NDC 80425-0031
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 9 technical images submitted to the FDA as part of the official labeling for Gabapentin (NDC 80425-0031). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Advanced Rx Of Tennessee, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Fig. 2 (Fig 2)
This is a report on pain management using Gabapentin, where patients were given a fixed dose period of 4 weeks. Two doses of Gabapentin, 1800 mg/day and 2400 mg/day, were administered to different groups. The report shows the mean pain score starting from the baseline to the end of the 4 week period at intervals of day 1, 2, 3, 4, 5, 6, and 7.*
Fig. 3 (Fig 3)
Fig. 4 (Fig 4)
Formula (Formula)
This appears to be a formula for calculating creatinine clearance, which is a measure of kidney function. It takes into account age, weight, and serum creatinine levels, with an adjustment for female patients. However, the formula cannot be fully evaluated without additional information about the units and any other relevant factors.*
Gabapentin #30 (Gabapentin 300mg Cap Qty 30 Ndc 80425 0031)
This is a label for medication packaging. It contains information about the drug Gabapentin in a capsule form with a strength of 300mg. The package contains 30 capsules. It suggests that Gabapentin is equivalent to a medication called Neurontin, and provides a lot number and expiration date for the product. There is also information about a possible manufacturer or distributer, labeled as "AAdvanced."*
Gabapentin # (Gabapentin 300mg Cap Qty 60 Ndc 80425 0031)
Gabapentin #90 (Gabapentin 300mg Cap Qty 90 Ndc 80425 0031)
Structure (Structure)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.