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 63187-006 by Proficient Rx, 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.
This is a chart showing the dosing schedule of Gabapentin, a medication used to treat certain types of seizures and nerve pain. The schedule involves a 4 week period of adjusting the dose followed by a 4 week period of fixed dosage. The chart also includes a placebo control. The headings show the baseline and subsequent weeks.*
The text shows a chart displaying pain scores over a period of 7 weeks. The chart depicts the results of a clinical trial that had a 3-week dose titration period, followed by a 4-week fixed dose period with either a placebo or gabapentin at 1800 mg/day or gabapentin at 2400 mg/day. The chart shows that the gabapentin groups had significant pain reduction compared to placebo. "p<0.01" indicates the statistical significance of these findings. However, no information is available about the condition being treated or the population studied.*
The text indicates the percentage of responders at an endpoint for a study 2, which included a treatment with GBP 1800 and GBP 2400. There are also some statistical significance levels shown with p<0.01 and p<0001. However, the information is not complete enough to provide a more detailed description.*
This is a pharmaceutical label for the drug Gabapentin 600mg, with NDC number 63187-006-90. It contains information such as the product identification number, dosage, quantity, and manufacturer location. The tablets are light green, capsule-shaped, film-coated, and imprinted with "LOGO" and 636 on one side, with a bisect on the other side. The label also includes directions for dispensing the medication guide to each patient and the storage conditions.*
* 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.