Product Images Gabapentin

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Product Label Images

The following 8 images provide visual information about the product associated with Gabapentin NDC 80425-0286 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.

Description - Description

Description - Description

label 1 - Gabapentin 80425 0286 01

label 1 - Gabapentin 80425 0286 01

label 2 - Gabapentin 80425 0286 02

label 2 - Gabapentin 80425 0286 02

This is a description of a medication called "Gabapentin 400mg capsule". It has a National Drug Code (NOC) of 80325-0286-02 and a source NOC of 69367-0345-05. The medication comes in a lot XXROMHX with an expiry date of 4/3/2024. The serial number of this specific medication is 000000135503.*

label 3 - Gabapentin 80425 0286 03

label 3 - Gabapentin 80425 0286 03

This is a description of a medication package of Gabapentin 400mg capsules, with 90 capsules in the pack. The lot number is XKK and the expiration date is 4/3/2024. The package was packed by Advanced and there is a serial number mentioned as well.*

fig 1 - fig 1

fig 1 - fig 1

The text presents a chart showing the Mean Pain Score during a period of d-Week Dose Titration followed by a 4-Week Fixed Dose. The chart displays the results from baseline to week 7 comparing the Placebo group to the Gabapentin group, which received a dose of 3,600 mg/day.*

fig 2 - fig 2

fig 2 - fig 2

The text suggests the presentation of results related to a clinical trial that measured pain score. The trial had two periods, a 3-week flexible dose titration phase followed by a 4-week fixed-dose period. The results include the comparison of placebo to two different doses of Gabapentin. However, without knowing the unit of measurement or any other information, it is not possible to infer the impact of Gabapentin on reducing pain.*

fig 3 - fig 3

fig 3 - fig 3

fig 4 - fig 4

fig 4 - fig 4

* 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.