Product Images Gabapentin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Gabapentin NDC 51224-021 by Tagi Pharma, Inc., 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.
Chemical Structure - gabapentin 01
Figure 1 - gabapentin 02
This is a chart showing the mean pain score during a 4-week dose titration period and a subsequent 4-week fixed dose period. The chart compares the pain score of those who received a placebo to those who received 3,600 mg/day gabapentin. The chart also includes baseline data and measures taken during 8 different time periods.*
Figure 2 - gabapentin 03
Figure 3 - gabapentin 04
This appears to be a graph or chart representing the results of two studies. The percentages listed on the left side may indicate effectiveness or efficacy rates. The two studies are labeled "Study 1" and "Study 2". The information in the chart seems to compare two different treatments or medications: "PBO" and "GBP". The numbers "3,600", "1,800", and "2,400" may indicate dosages or quantities of each medication used in the study. Without further context or clearer labeling, it is difficult to provide a more precise description.*
Figure 4 - gabapentin 05
Not available. (The text appears to be mostly random characters and does not provide any coherent information.)*
PRINCIPAL DISPLAY PANEL - 600 mg Tablet Bottle Label - gabapentin 06
Each tablet contains 600mg of gabapentin, a medication used to treat seizures and nerve pain. The tablets are film-coated and should be stored at 25°C (77°F). The medication should be dispensed in child-resistant containers with a separate medication guide for each patient.*
PRINCIPAL DISPLAY PANEL - 800 mg Tablet Bottle Label - gabapentin 07
* 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.