Product Images Gabapentin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Gabapentin NDC 63629-7962 by Bryant Ranch Prepack, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

formula - gabapentin capsules usp 1

formula - gabapentin capsules usp 1

This is a formula to calculate a person's daily caloric needs based on their age and weight. It also includes the calculation of serum creatinine levels in milligrams per deciliter. The last line indicates a correction factor for female patients.*

chem structure - gabapentin capsules usp 2

chem structure - gabapentin capsules usp 2

10 - gabapentin capsules usp 3

10 - gabapentin capsules usp 3

10 - gabapentin capsules usp 4

10 - gabapentin capsules usp 4

10 - gabapentin capsules usp 5

10 - gabapentin capsules usp 5

figure 4 - gabapentin capsules usp 6

figure 4 - gabapentin capsules usp 6

Label Image - lbl636297962

Label Image - lbl636297962

This is a drug label for Gabapentin capsules containing 300mg of medication per capsule. It advises to keep this and all drugs away from children and store at controlled room temperature. The label also includes the drug's NDC number, Rx only status, and quantity of capsules per package (30).*

lbl6362979622

lbl6362979622

This is a description for a medicine capsule called "NEURONTIN 300 MG". It is packaged by Bryant Ranck Prepack and is compared to a similar capsule by Amneal Pharmaceuticals Pvt. Ltd. The packaging contains 30 capsules and has an expiration date of MM/YY. The NDC code for the product is 6362979621. The medicine should be stored at room temperature (20°-25°C / 68°-77°F) and kept out of the reach of children. The final line may be a barcode or an identifier for the product.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.