Gabapentin
Product Images NDC 21695-059
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Gabapentin (NDC 21695-059). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Rebel Distributors Corp., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
800mg Package Label (059 Sun)
Gabapentin-fig01 (Gabapentin Fig01)
The text describes a graph (Figure 1) showing weekly mean pain scores (Observed Cases in ITT Population) for Study 1. The graph includes a 4-week dose titration period, a 4-week fixed dose period, and two treatment groups: Placebo and Gabapentin, 3600 mg/day. The values of the baseline, weeks 1 through 8, and the significance level (p<0.01) are presented.*
Gabapentin-fig02 (Gabapentin Fig02)
The text represents data from a study regarding mean pain scores. The study consists of a 3-week dose titration period and a 4-week fixed dose period. Gabapentin is used at two different doses and a placebo is also used. There is a graph showing weekly mean pain scores from baseline through week 7. The data suggests that gabapentin at both doses is statistically significant in reducing pain compared to the placebo.*
Gabapentin-fig03 (Gabapentin Fig03)
The text describes a figure named "Figure 3" that shows the percentage of patients who responded positively to treatment (with a reduction of at least 50% in pain score) in two controlled studies for PHN (postherpetic neuralgia), using two different doses of GBP (gabapentin) and a placebo (PBO). It also includes a note about statistical significance based on p-values.*
Gabapentin-fig04 (Gabapentin Fig04)
Gabapentin-structure (Gabapentin Structure)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.