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 63629-7666 by Bryant Ranch Prepack, 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

This appears to be a table or graph displaying the mean pain scores for a study with different treatment periods and dosages of Gabapentin compared to a placebo. The information provided is not enough to draw further conclusions or context from.*

Figure3

Figure3

This text shows the proportion of responders (patients with a 2 50% reduction in pain score) at endpoint in two controlled studies regarding Postherpetic Neuralgia (PHN). The studies included the administration of PBO, GBP 3600, GBP 1800, and GBP 2400. There is also a table with percentages that go from 0% to 100%. No further information is available.*

Figure4

Figure4

Logo.jpg - Logo

Logo.jpg - Logo

Structure.jpg - Structure

Structure.jpg - Structure

Equation.jpg - equation

Equation.jpg - equation

This appears to be a calculation formula for Hbr (estimated glomerular filtration rate, eGFR) based on the patient's age, weight, and serum creatinine levels. The formula also includes an adjustment for female patients. However, without further context, it is not clear what the purpose or application of this formula is.*

Label Image - lbl636297666

Label Image - lbl636297666

This is a description of a medication called Neurontin 600mg tablet packaged and produced by Glenmark Pharmaceuticals Ltd. The package contains 30 tablets and should be stored at room temperature. The NDC number is 6362976661, but there is no mention of the directions of use. The package is intended for adults only, and must be kept away from the reach of children.*

* 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.