Product Images Gabapentin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Gabapentin NDC 70518-1834 by Remedyrepack 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.

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

Gabapentin is a medication that comes in capsules of 100 mg and is available in a quantity of 30 capsules. It is a prescription drug that should be kept out of reach of children. The details of the lot number and expiry are not available. The drug should be stored between 20-26 degrees Celsius, and excursions are permitted between 15-30 degrees Celsius. The manufacturer of the medication is Ascend Labs, LLC located in Montvale, NJ, and it was repackaged by RemedyRepack Inc., Indiana, PA 15701. Directions for use can be found in the package insert.*

gabapentin-equation - gabapentin equation

gabapentin-equation - gabapentin equation

gabapentin fig1

gabapentin fig1

This is a clinical trial report that includes information on mean pain score. The trial involved a 4-week dose titration period followed by a 4-week fixed dose period where patients were given either a placebo or gabapentin at a dosage of 3600 mg/day. The baseline score is not specified, but the mean pain score for the study is 10.*

gabapentin fig2

gabapentin fig2

This appears to be a graph or chart with multiple columns and rows showing the mean pain score for different periods of time and dosages of either placebo or Gabapentin. It is unclear what the units of measurement are or what the context of the data is. Without additional information, a useful description cannot be generated.*

gabapentin fig3

gabapentin fig3

gabapentin-fig4 - gabapentin fig4

gabapentin-fig4 - gabapentin fig4

* 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.