Product Images Gabapentin
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Product Label Images
The following 6 images provide visual information about the product associated with Gabapentin NDC 71205-808 by Proficient Rx Lp, 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.
Chemical Structure - gabapentin 01
Figure 1 - gabapentin 02
The text describes a chart or graph that shows the mean pain score for a study over four weeks. The study appears to have involved two periods: a dose titration period, which lasted four weeks, followed by a four-week fixed dose period. The chart shows two treatments: a placebo and gabapentin at a dosage of 3600 mg/day. The mean pain score at baseline, week 1, and week 2 is included in the chart.*
Figure 2 - gabapentin 03
This is a chart that presents the mean pain scores for a study that had a 3-week dose titration period followed by a 4-week fixed dose period. The chart compares the pain scores of three groups: a placebo group, a group taking 1800mg/day of Gabapentin, and a group taking 2400mg/day of Gabapentin. The baseline score is not indicated, but the chart indicates that the pain scores were measured weekly for a total of 10 weeks.*
Figure 3 - gabapentin 04
Figure 4 - gabapentin 05
71205-808-90 - gabapentin 07
This is a medication information sheet for Gabapentin 400mg capsules manufactured by ScieGen Pharmaceuticals and packaged by Proficient Rx LP. Each bottle contains 90 capsules and should be stored at 20°-25°C (68°-77°F). The capsules contain white to off-white powder and are filled in size "0" hard gelatin capsules with opaque orange-colored cap and body imprinted SG on cap and 181 on body with black ink. Each capsule contains 400 mg of gabapentin, USP. A medication guide should be provided to each patient when dispensing Gabapentin capsules. The Lot #:00000 and Expiration Date: 00/00/00 are mentioned on the package.*
* 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.