Montelukast Tablet
Product Images NDC 68071-4034

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Montelukast (NDC 68071-4034). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nucare Pharmaceuticals,inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image

68071 4034 09

68071 4034 09
Product Information: Brand: Care Pharmaceuticals, Inc. Product name: Montelukast Sodium 10mg Tablets Size: #90 Tablets Lot Number: 000000 Manufacturer: Not specified National Drug Code (NDC): 68071-4034-09 Ingredients: Not available Expiry Date: 00-00 Description: The product is a pack of #90 tablets with a strength of Montelukast Sodium 10mg. The product is manufactured by Care Pharmaceuticals, Inc. The lot number of the product is 000000, and its expiry date is 00-00. The National Drug Code (NDC) of this product is 68071-4034-09. The product is meant for oral use only. Please consult your physician for any medical advice related to this medicine. Warning: The product should be kept out of reach of children and stored at a controlled temperature range of 59-86°F. In case of any side effects, contact your physician or report it to FDA.*
FDA Label Image

Montelukast-fig-1 (Montelukast Fig 1)

Montelukast-fig-1 (Montelukast Fig 1)
This data shows the mean percent change from baseline in a treatment study that lasted for 15 weeks. The study had a washout period and two treatment groups—one receiving a placebo and one receiving Montelukast Sodium.*
FDA Label Image

Montelukast-structural (Montelukast Structural)

Montelukast-structural (Montelukast Structural)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.