Product Images Daytime Nighttime Severe Cold Cough And Flu Relief

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Product Label Images

The following 2 images provide visual information about the product associated with Daytime Nighttime Severe Cold Cough And Flu Relief NDC 11822-2050 by Rite Aid Corporation, 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.

daytime nighttime severe cold cough & flu relief carton image 1 - 1e65583c1 image 1

daytime nighttime severe cold cough & flu relief carton image 1 - 1e65583c1 image 1

This text describes two different combo packs of medication for temporary relief of symptoms such as nasal/sinus congestion, cough, body ache, sore throat pain, headache, and fever. One pack is infused with green tea & honey lemon flavors and contains acetaminophen 500mg, dextromethorphan HBr 20mg, and phenylephrine HCI 10mg while the other pack is honey lemon infused with white tea flavors and contains acetaminophen 650mg, diphenhydramine HCI 25mg, and phenylephrine HCI 10mg. The text provides drug facts and warnings including not taking both products at the same time or taking more than 5 doses in any 24 hour period. It also warns about severe liver damage if more than 4,000mg of acetaminophen is taken in 24 hours and provides helpful advice for certain medical conditions.*

daytime nighttime severe cold cough & flu relief carton image 2 - 1e65583c1 image 2

daytime nighttime severe cold cough & flu relief carton image 2 - 1e65583c1 image 2

This is a drug information sheet for a cold and cough medication named "Nighttime Flu & Severe Cold & Cough." The sheet has an overview of possible symptoms of flu and instructions to take the medication. It has information about the active ingredients, dosage, directions, overdose warnings, and precautions. It also contains a list of inactive ingredients and manufacturer details.*

* 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.