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  5. Product Images: Gabapentin

Product Images Gabapentin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Gabapentin NDC 70010-228 by Granules 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.

equation - equation

equation - equation

This text appears to be a formula or calculation related to age, weight, and serum creatinine levels. It seems to suggest multiplying the age (in years) by the weight (in kg) and then multiplying the result by a factor of 75 (or g if the patient is female), followed by multiplying it by the serum creatinine level (in mg/dL).*

fig-1 - fig 1

fig-1 - fig 1

fig-2 - fig 2

fig-2 - fig 2

The text provided is not readable.*

fig-3 - fig 3

fig-3 - fig 3

fig-4 - fig 4

fig-4 - fig 4

image description - gaba tab 70010 227 01

image description - gaba tab 70010 227 01

image description - gaba tab 70010 228 01

image description - gaba tab 70010 228 01

This text appears to be the description of a medication called Gabapentin. It is a tablet medication containing 800 mg of Gabapentin. The text advises the pharmacist to dispense the medication guide to each patient separately. The dosage and usage information can be found in the package insert. The medication should be stored at a temperature range of 20°C to 25°C, with excursions permitted between 15°C to 30°C. It is recommended to dispense the medication in tight, child-resistant containers. The medication is manufactured by Granules India Limited in Hyderabad, India, and is made for Granules Pharmaceuticals Inc. located in Chantilly, VA. The text also provides a weblink to print the medication guides and mentions an unvarnished area for batch coding.*

structure - structure

structure - 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.