Gabapentin Tablet
Product Images NDC 71205-932

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 71205-932). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Proficient Rx Lp, 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

Chemical Structure (Gabapentin 01)

FDA Label Image

Figure 1 (Gabapentin 02)

FDA Label Image

Figure 2 (Gabapentin 03)

FDA Label Image

Figure 3 (Gabapentin 04)

FDA Label Image

Figure 4 (Gabapentin 05)

FDA Label Image

71205-931-30 (Image 01)

71205-931-30 (Image 01)
This is a description of medication called Gabapentin. The medication is packaged by Proficient Rx LP and contains 600mg of Gabapentin per tablet. The tablets are white to off white, modified capsule-shaped, film-coated functional scored and have "SG" on one side and "177" on the other side, with a bisect line on both sides. The medication should only be taken with a prescription and each patient should be provided a medication guide. The medication should be stored at 20°-25°C (68°-77°F) and safely kept out of reach of children.*
FDA Label Image

71205-932-30 (Image 02)

71205-932-30 (Image 02)
Gabapentin is a medication used to treat seizures and nerve pain. This specific packaging contains 240 tablets, each coated with a functional film that contains 800mg of gabapentin USP. it bears the product ID QG093264 and an SN# MASTER with a lot #00000. The medication is packaged by Proficient Rx LP and manufactured by ScieGen Pharmaceuticals in Hauppauge, NY. It is recommended that the pills be stored at 20°-25°C (68°-77°F) and be kept out of the reach of children.*

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