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 70518-1807 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.

Figure1

Figure1

Figure2

Figure2

Figure3

Figure3

The text is not clear and contains errors.*

Figure4

Figure4

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

Gabapentin is a medication available in tablet form. Each tablet contains 600mg of the active ingredient. The quantity provided is 30 tablets. This medication can only be obtained with a prescription. The National Drug Code (NDC) for this specific product is 70518-1807-01. The expiration date and lot number are not available in the provided text. The manufacturer of this medication is Glenmark, located in Mahwah, NJ. It is important to keep this medication out of the reach of children. Directions for use can be found in the package insert. The recommended storage temperature is between 20-25°C (88-77°F), with excursions permitted between 15-30°C (59-86°F) as per USP guidelines. The medication has been repackaged by RemedyRepack Inc., located in Indiana, PA, with contact number 724.465.8762.*

Structure.jpg - Structure

Structure.jpg - Structure

Equation.jpg - equation

Equation.jpg - equation

This text appears to be a set of mathematical formulas for calculating certain values. The first formula relates to calculating age in years multiplied by weight in kilograms. The second formula involves multiplying 72 by serum creatinine in milligrams per deciliter. Additionally, there is a mention of multiplying the result by 0.85 for female patients. Unfortunately, without further context, it is difficult to ascertain the exact purpose or significance of these calculations.*

* 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.