Gabapentin Capsule
Product Images NDC 68071-3759

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 68071-3759). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nucare Pharmaceuticals,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.

FDA Label Image

Pdp (68071 3759 1)

Pdp (68071 3759 1)
This text appears to be a medication label containing information about Gabapentin 100mg capsules, including details such as NDC numbers, lot numbers, manufacturer information, expiration date, and product description. It also includes important warnings about keeping the medication out of reach of children and storing it at a controlled temperature. The text ends with a reference to the FDA contact number.*
FDA Label Image

Equation (Equation)

Equation (Equation)
This text provides a formula for calculating Creatinine Clearance (CLCr) based on age and weight for male patients, and the same formula adjusted by 0.85 for female patients. The formula involves multiplying age in years by weight in kilograms, and dividing the result by 72 times serum creatinine level in mg/dL.*
FDA Label Image

Fig 1 (Fig 1)

FDA Label Image

Fig 2 (Fig 2)

FDA Label Image

Fig 3 (Fig 3)

FDA Label Image

Fig 4 (Fig 4)

Fig 4 (Fig 4)
This is a description of a figure showing the responder rate in patients receiving Gabapentin as adjunctive therapy for patients above 12 years of age with partial seizures. The figure displays the difference from the placebo based on different doses and studies conducted. The figure includes dosages in milligrams for Gabapentin as the daily dose.*
FDA Label Image

Structure (Struct)

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