Product Images Gabapentin

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Product Label Images

The following 9 images provide visual information about the product associated with Gabapentin NDC 72789-055 by Pd-rx Pharmaceuticals, Inc., 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.

72789055 - 72789055

72789055 - 72789055

This is a description of Gabapentin, a medicine in capsule form with a strength of 300mg. Each bottle contains 180 capsules, with a lot number of F20C11 and an expiration date of 06/2022. The bottle also has a reorder number of 111087. Gabapentin may cause drowsiness, so it is advised to avoid alcohol while taking it as it can impair driving ability. Antacids must not be taken simultaneously. The bottle has warnings to keep it out of reach from children, and individuals experiencing side effects should consult their doctor or may report it to the FDA. The recommended dosage is not specified, but the label indicates that the capsule should be taken several times a day.*

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This is a formula used to calculate estimated renal function in patients, by using the patient's age, weight, and serum creatinine level. The formula is specifically designed for adults and may not apply to children.*

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The text describes the mean pain score after a dose titration period of 4 weeks, followed by a 4-week fixed dose period. The treatments being compared are a placebo and a daily dose of 3600 mg of gabapentin. The baseline is not specified but the data is reported over the course of weeks.*

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This is a chart for a study related to pain management. It shows the mean pain score for different groups of individuals over a period of four weeks. The groups are divided based on the dosage of Gabapentin they were given, which were either 1800 mg/day or 2400 mg/day. The chart depicts that there was no significant difference in the mean pain score between the two groups during the four-week period.*

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* 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.