Product Images Gabapentin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 9 images provide visual information about the product associated with Gabapentin NDC 80425-0033 by Advanced Rx Pharmacy Of 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.

Fig 1

Fig 1

This appears to be a chart or graph displaying the mean pain score for a study or trial over a 4-week dose titration period, followed by a 4-week fixed dose period. The study compares a placebo group to a group taking 3600 mg/day of Gabapentin. The text provides no other information about the study or the pain being evaluated.*

Fig 2

Fig 2

This appears to be a chart showing the Mean Pain Score for different treatments over a course of several weeks. The chart includes placebo and different doses of a medication called Gabapentin. The first column shows the baseline score before treatment started.*

Fig 3

Fig 3

The text provides a table with percentage values for "Proportion of Responders" in "Controlled PHN Studies". There are different percentages for different treatments mentioned such as GBP 3600, PBO, GEBP 1800, GBP 2400. The table also includes information about statistical analysis with the #p<001 and mentions that the data is from endpoint studies. Therefore, this text depicts results of a study comparing different treatments for PHN but no further information is available.*

Fig 4

Fig 4

Gabapentin 300mg Cap Qty 30 NDC 80425 0033

Gabapentin 300mg Cap Qty 30 NDC 80425 0033

Gabapentin 300mg Cap Qty 40 NDC 80425 0033

Gabapentin 300mg Cap Qty 40 NDC 80425 0033

Gabapentin 300mg Cap Qty 60 NDC 80425 0033

Gabapentin 300mg Cap Qty 60 NDC 80425 0033

Gabapentin 300mg Cap Qty 90 NDC 80425 0033

Gabapentin 300mg Cap Qty 90 NDC 80425 0033

Structure

Structure

* 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.