Product Images Careone Day Cold And Flu Night Cold And Flu

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Product Label Images

The following 2 images provide visual information about the product associated with Careone Day Cold And Flu Night Cold And Flu NDC 41520-820 by American Sales Company, 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.

day cold and flu night cold and flu image 1 - 6U0 OF day night cold and flu image 1

day cold and flu night cold and flu image 1 - 6U0 OF day night cold and flu image 1

This is a combination pack of liquid gels (liquid-filled capsules) for Day Cold & Flu and Night Cold & Flu relief. It is comparable to Mucinex Fast-Max Day and Night Cold and Flu. The Day Cold & Flu liquid gels contain Acetaminophen (pain reliever/fever reducer), Dextromethorphan HBr (cough suppressant), Doxylamine Succinate (antihistamine), and Phenylephrine HCl (nasal decongestant). The Night Cold & Flu liquid gels contain the same active ingredients plus directions on how to use it before bedtime. The product is gluten-free and is suitable for ages 12+.*

day cold and flu night cold and flu image 2 - 6U0 OF day night cold and flu image 2

day cold and flu night cold and flu image 2 - 6U0 OF day night cold and flu image 2

This is a drug facts label for DAY Cold & Flu medication that lists active and inactive ingredients, potential side effects, warnings, and directions for use. The medication provides temporary relief from symptoms such as congestion, headaches, and sore throats caused by the cold and flu. It contains acetaminophen, and liver damage can occur if one takes more than 4,000 mg in a 24-hour period. The medication also contains warning about drug interactions, and if one experiences any adverse reactions, they should seek medical help. It is not recommended to take more than directed, and the carton should be kept for additional information.*

* 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.