Product Images Citalopram Hydrobromide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Citalopram Hydrobromide NDC 55111-343 by Dr. Reddy's Laboratories Limited, 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.

carton10mg

carton10mg

carton20mg

carton20mg

This is a medication package for Citalopram Hydrobromide Tablets, USP 20mg. It comes in a package of 100 tablets (10 blister cards, each containing 10 tablets). The package has a NDC number of 55111-343-78 and is Rx only. The package should be kept out of reach of children and stored in a tight container at controlled room temperature. The medication guide is included and should be dispensed by the pharmacist. The distributor is Dr. Reddy's Laboratories.*

carton40mg

carton40mg

container10mg

container10mg

This text contains a mix of strange characters, letters, and numbers. It is likely that it is a mix of errors and possibly some barcodes or other symbols that cannot be interpreted as text. Therefore, it is not available for generating a useful description.*

container20mg

container20mg

This appears to be a mixture of jumbled characters, symbols, and numbers. Therefore, it seems to be a partially readable document and not available for generating a useful description.*

container40mg

container40mg

This is a description of a medication guide for Citalopram Tablets, USP, with a dosage of 40mg. The guide can be accessed by scanning a QR code or visiting the website drreddys.com/medguide/citaopramtabs pdf. The National Drug Code for this medication is 55111-344-30 and it is dispensed by Dr. Reddy's. The text seems to be incomplete, with several characters missing or unreadable.*

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.