Product Images Ciprofloxacin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Ciprofloxacin NDC 82982-050 by Pharmasource Meds, 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.

Ciprofloxacin 14 count Sample Label - Ciprofloaxin 14 count Sample Label

Ciprofloxacin 14 count Sample Label - Ciprofloaxin 14 count Sample Label

This is a description of a prescription medication called "Ciprofloxacin 500 mg Tablets". Each package contains 14 tablets with the National Drug Code (NDC) of 82982.050.14, manufactured by PharmaSource Meds, LLC. The tablets have a white capsule with an imprint of C 194 on them. The medication contains 582 mg of Ciprofloxacin hydrochloride monohydrate and is equivalent to 500 mg of Cip. The medication should be stored at 68.77 F and dispensed with a med guide. It is a prescription medication, and the container should be kept out of reach of children.*

Ciprofloxacin 20 count Sample Label - Ciprofloaxin 20 count Sample Label

Ciprofloxacin 20 count Sample Label - Ciprofloaxin 20 count Sample Label

CIPROFLOXACIN 500 MG TABLETS is a prescription medication dispensed in a container with 20 tablets containing 582 mg of ciprofloxacin hydrochloride monohydrate equivalent to 500mg ciprofloxacin USP. Manufactured by Pharmasource Meds, LLC with NDC code 8268205020 and lot# 000000. It is required by federal law to dispense only with a prescription and must be kept out of children's reach. The tablets are white and have the imprint code C 194. The package contains a med guide and should be stored at 68.77°F (20-25°C).*

Chemical Structure - ciprofloxacin str1

Chemical Structure - ciprofloxacin str1

Chemical Structure - ciprofloxacin str2

Chemical Structure - ciprofloxacin str2

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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.