Product Images Daytime Nighttime Cold/flu
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Daytime Nighttime Cold/flu NDC 59779-686 by Cvs Pharmacy, 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.
This is a Drug Facts leaflet for a CVS Health's Cold & Cough medication which contains acetaminophen, and is used for relieving symptoms due to cold, sore throat, headache, nasal and sinus congestion, cough, and reducing fever temporarily. The medication should not be taken in combination with other drugs containing acetaminophen or a monoamine oxidase inhibitor. The user should consult their healthcare professional before using the drug in certain conditions, including liver disease, heart disease, thyroid disease, diabetes, high blood pressure, trouble urinating due to an enlarged prostate gland, cough with too much phlegm or chronic cough such as occurs with smoking, asthma, or emphysema, or while taking the blood thinning drug warfarin. The drug should be stored between 20-25°C (68-77°F) and the dosing cup provided should be used to measure the correct dosage. If an overdose occurs, medical attention should be sought immediately, and the medication should be kept away from the reach of children.*
This is the drug facts label for a CVS Health Severe Cold & Cough Nighttime medicine. It contains active ingredients such as acetaminophen, diphenhydramine HCI, and phenylephrine HCI, and is used to temporarily relieve symptoms such as cough, stuffy nose, and fever. The label contains warnings to not exceed the recommended dosage, avoid alcohol, and seek medical help if necessary. The product should only be used by adults and children over 12 years old.*
* 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.