Product Images Gabapentin
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Product Label Images
The following 9 images provide visual information about the product associated with Gabapentin NDC 43353-863 by Aphena Pharma Solutions - Tennessee, Llc, 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 product description of Gabapentin, which comes in 90 capsules with a strength of 100mg each. The NOC number is also provided for identification purposes.*
This is a drug called Gabapentin and the given text appears to be a National Drug Code number for it. It is not enough information to provide a detailed description of the drug itself.*
Gabapentin is a medication that comes in the form of 400mg capsules. The total quantity is 90 capsules. It is not clear what the source or purpose of this medication is from the provided text.*
The text shows a chart with the mean pain score over the course of a clinical trial that consisted of a 4-week dose titration period followed by a 4-week fixed dose period. The chart includes two groups: a placebo group and a group taking 3600 mg/day of gabapentin. The data shows that at the end of the study, the group taking gabapentin had a significantly lower mean pain score than the placebo group (p<001).*
This appears to be a graph showing the mean pain score over time during a dose titration period of three weeks and a fixed dose period of four weeks. The X-axis represents the weeks and the Y-axis represents the pain score. The pain score is measured for placebo, as well as for two different doses of Gabapentin (1800 mg/day and 2400 mg/day). The graph shows a decrease in pain score over time for both Gabapentin doses compared to placebo. The significance level (p-value) is also shown as being less than 0.05 for both doses.*
Percentage of Responders at Endpoint for Study 1 and Study 2 are provided in the text. No further information is available.*
* 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.