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 71610-463 by Aphena Pharma Solutions - Tennessee, Llc, 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.

Bottle Label 600 mg - 71610 0463 30

Bottle Label 600 mg - 71610 0463 30

Aphena Pharma Solutions - TN - Aphena

Aphena Pharma Solutions - TN - Aphena

Figure 1 - image 01

Figure 1 - image 01

This appears to be a chart or graph of some sort showing different pain scores and dose titrations. The chart includes a baseline and spans multiple weeks. The treatments being compared include a placebo and a medication called Gabapentin taken at a dose of 3600 mg/day. However, without more context or information it is difficult to determine what the chart is specifically measuring or evaluating.*

Figure 2 - image 02

Figure 2 - image 02

This is a graph showing the results of a 4-week fixed dose period study of Gabapentin for pain relief. The doses used were a placebo, 1800mg/day and 2400mg/day of Gabapentin. The mean pain score was measured over the course of the 4 weeks. There are no further details provided in the text.*

Figure 3 - image 03

Figure 3 - image 03

Cockcroft and Gault Equation - image 04

Cockcroft and Gault Equation - image 04

Gabapentin Structural Formula - image 05

Gabapentin Structural Formula - image 05

Figure 4. Responder Rate in Patients Receiving gabapentin Expressed as a Difference from Placebo by Dose and Study: Adjunctive Therapy Studies in Patients ≥12 Years of Age with Partial Seizures - image 09

Figure 4. Responder Rate in Patients Receiving gabapentin Expressed as a Difference from Placebo by Dose and Study: Adjunctive Therapy Studies in Patients ≥12 Years of Age with Partial Seizures - image 09

* 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.