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 80425-0196 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.

Description - Description

Description - Description

label 3 - Label 3

label 3 - Label 3

This appears to be a partial text containing information on a medication called Gabapentin in 300mg capsules that comes in a bottle of 90 and can be compared to a similar medication called Neurontin. The text also includes an NDC and source number, as well as an expiration date of 11/11/2013. There is also a line of unclear characters that cannot be properly evaluated.*

label 1 - Lable 1

label 1 - Lable 1

label 2 - Lable 2

label 2 - Lable 2

This is a bottle containing 60 capsules of Gabapentin 300mg. The source of the medication is NOC with the code 69367-034-05. The medication has an expiration date of November 1, 2023. There is also a serial number listed as SN 000000115209.*

fig 1 - fig 1

fig 1 - fig 1

The text shows a table with three columns representing the "Mean Pain Score" for different periods of a study. The study had a "d-Week Dose Titration Period" followed by a "4-Week Fixed Dose Period". The rows of the table show the pain score for different timepoints (Baseline, 1, 2, 3, 4, 5, 6, 7) for two groups: Placebo and Gabapentin (taken at a dose of 3,600 mg/day).*

fig 2 - fig 2

fig 2 - fig 2

The text describes a table that displays mean pain scores over a 4-week period. There are three groups: a placebo group, a group receiving 1800mg/day of gabapentin, and a group receiving 2400mg/day of gabapentin. The baseline pain score and scores at weeks 1-7 are included.*

fig 3 - fig 3

fig 3 - fig 3

The text seems to be a table or graph with percentages and statistical notations. It is difficult to provide a description without additional context or information.*

fig 4 - fig 4

fig 4 - fig 4

* 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.