Product Images Daytime And Nighttime Cherry Cold And Flu
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Daytime And Nighttime Cherry Cold And Flu NDC 21130-967 by Better Living Brands, 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.
750L-label - 750L label
The text provides information on the active ingredients, uses, warnings, and directions for Vicks® NyQuil® Gold & F Cherry Liquid for Nighttime relief of cold and flu symptoms. It includes details on ingredients, precautions about acetaminophen, dosage instructions, and a warning to consult a doctor for specific conditions. The product should not be used with alcohol or certain medications, and there are recommendations for storage and contacting medical professionals in case of overdose. It also mentions specific instructions for children and inactive ingredients used in the product. For questions or comments, there is a provided contact number.*
772L-label - 772L label
This text appears to be a description of a cold and flu medicine. It contains information on the ingredients, warnings, directions for use, and additional details about the product. The medicine contains ingredients like Acetaminophen, Dextromethorphan HBr, and Phenylephrine HCI, and is used for treating symptoms such as headache, fever, sore throat, cough, nasal congestion, and sinus pressure. The text also includes important warnings about liver damage, allergic reactions, and potential side effects. Additionally, it provides guidance on dosages, storage conditions, and what to do in case of overdose or worsening symptoms. If you have questions or need assistance, there is a contact number provided for customer inquiries.*
773L-shrink label - 773L shrink label
* 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.
