Product Images Gabapentin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 10 images provide visual information about the product associated with Gabapentin NDC 80425-0097 by Advanced Rx Pharmacy Of 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.

Fig 1

The text describes a chart displaying the mean pain scores observed in a population during a study. The chart shows weekly results for different dosages of a drug compared to a placebo. The text also shows the labels for the different dosage levels.*

Fig 2

Fig 3

Fig 4

This text is a table that shows the figure expressed as a difference from the placebo by the doss and study for adjunctive therapy in patients aged 12 years or older with partial seizures. It also shows the daily dose in milligrams for the same therapy.*

Formula

This appears to be a formula used to calculate something related to creatinine in female patients based on their age and weight. However, without additional context or information, it is not possible to determine the specific purpose or application of this formula.*

Gabapentin 600mg Tab Qty 120 NDC 80425 0097

Gabapentin 600mg Tab Qty 30 NDC 80425 0097

This is a package of 30 Gabapentin Gumg tablets, packed by AAdvnncnd. The intended administration method is Nasy. The product code is 30GPB00423.*

Gabapentin 600mg Tab Qty 60 NDC 80425 0097

Gabapentin 600mg Tab Qty 90 NDC 80425 0097

This appears to be a label for a medication package of 90 tablets of Gabapentin at a strength of 500mg per tablet, with a unique product identifier code of 90GPE00723. The label also indicates that the medication was packaged by a company called AAdvnncnd. It is unclear what the word "Nasy" refers to, but it may be a typo or an abbreviation.*

Structure

* 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.