Gabapentin 300 mg (8744103501 Gabapentin 300 mg)
Gabapentin Capsule
Product Images NDC 87441-035
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 87441-035). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Unit Dose Solutions, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
Gabapentin-equation (Gabapentin Equation)
This text seems to provide information about weight, serum creatinine levels, and a correction factor for chlorides for female patients. It is recommended to consult a medical professional for a proper evaluation and understanding of these values in a clinical context.*
Structure (Gabapentin Fig 5)
Gabapentin-fig1 (Gabapentin Fig1)
This text is not readable.*
Gabapentin-fig2 (Gabapentin Fig2)
This text provides information on the Mean Pain Score for different dosages of Gabapentin over two periods: Dose Titration Period and Fixed Dose Period, as well as a Placebo. The dosages mentioned are 1800 mg/day and 2400 mg/day. It also includes data for the Baseline and Weeks.*
Gabapentin-fig3 (Gabapentin Fig3)
The text provides data on the proportion of responders (patients with a 50% reduction in pain score) in controlled studies on postherpetic neuralgia (PHN). The chart displays percentages for different treatment groups, including GBP 3600, GBP 2400, and placebo (PBO). The statistical significance is indicated by the p-value (<0.001). The results show varying response rates among the treatment groups, with GBP 3600 having the highest proportion of responders at 29%.*
Gabapentin-fig4.jpg (Gabapentin Fig4)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
