Coldtac Severe Cold Capsule, Liquid Filled
Product Images NDC 69729-808

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Coldtac Severe Cold (NDC 69729-808). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

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

FDA Label Image

Pdp (Coldtac Severe Cold Max Relief 001)

Pdp (Coldtac Severe Cold Max Relief 001)
This text appears to be a description of a medication product named "COLDTAC" for Cold and Flu Relief. It contains information about the ingredients, such as 25 mg of ibuprofen and 10 mg of acetaminophen, and its usage for headache, sore throat, fever, and cough. The product is a Max Relief formula designed to alleviate cold and flu symptoms.*
FDA Label Image

Esp (Coldtac Severe Cold Max Relief 002)

Esp (Coldtac Severe Cold Max Relief 002)
This text contains information about a pharmaceutical product that includes active ingredients such as Acetaminophen and Dextromethorphan HBr. The purpose of the product is to relieve pain, reduce fever, and suppress coughing. It is used to temporarily alleviate symptoms of flu and cold, such as sore throat, headache, mild pain, and fever. The text also includes warnings about liver damage due to Acetaminophen overdose and allergic reactions. It provides guidance on dosage for adults and children, as well as information on inactive ingredients and how to store the product. Additionally, it advises to consult a doctor if experiencing specific symptoms or conditions before taking the medication. For further information or questions, there is a contact number provided for assistance.*

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