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 52959-730 by H.j. Harkins Company, 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.
This is a description of a Ciprofloxacin HCL 250mg tablet with lot number CPF200XB. It includes details such as manufacturer (Cobalt Lab), expiration date (11/13), and NDC code (16252-514-01). The pill is white and round. The description also reminds users to take this medication as directed by their doctor and refers them to the enclosed instructions for dosage information.*
This is a description of a bottle of Ciprofloxacin HCL 500mg tablets manufactured by Cobalt Lab. The lot number of the bottle is CIP508XB and the expiry date is 03/14. The label includes important warning messages and instructions to take the medication as directed by the doctor. There are also details about the pill identification, size, and color. The RX number is #5000000C and the medicine is available on prescription only. There are also details about the manufacturer's location and a comparison to another medicine called Cipro. The last line on the label mentions a repackaged product that meets the requirements of the USP.*
This is a description of a pharmaceutical product containing Ciprofloxacin HCL 750mg tablets, with lot number CXA700XB and an expiration date of 1113. It is manufactured by Cobalt Lab in Corona, CA, and is to be taken as directed by a doctor or according to the usual dosage information found in the outsert. The lot number is compared to a similar product called Cipro. There are various other numbers and identifications mentioned in the text, but no further specific information is provided.*
* 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.