Product Images Tadalafil
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 13 images provide visual information about the product associated with Tadalafil NDC 50436-6460 by Unit Dose Services, 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 description of a medication called Tadalafil that comes in the form of film-coated tablets. Each tablet contains 5mg of Tadalafil USP, which should not be split. The entire dose should be taken and the tablets should be kept in a tight container at a controlled room temperature. The medication is manufactured by Hetero Labs Limited in India and has a serial number and lot number. The packaging insert contains dosage information, and the medication is only available with a prescription.*
This is a medication packaging for Tadalafil. The NDC number is 50436-0645-1. Each unit dose contains 4 tablets of 10mg dosage. The manufacturer appears to be "Repsckapby Unt oo Seven LLC". The rest of the text is not legible.*
This is a description of a pharmaceutical product, Tadalafil 20mg tablets. The packaging format is Unit Dose and there is a unique identifier or NDC of 50436-6460-1. The manufacturer appears to be Tordocadlor Comone Pramacti located in Py 05k and the product was repackaged by U DoseSeveon L in 17321 G. No further information is available.*
This appears to be a table showing the difference in standing and supine systolic and diastolic blood pressure between two groups (Tadlai minus Placebo, and Tadlal minus Placebo) in mbg. No further information or context is available.*
This is a listing of two medications, Tadalafil 20mg and Doxazosin 8mg, written in an unclear format. It appears that there is also a "placebo" option combined with Doxazosin 8mg. The numbers at the bottom may refer to page numbers or timestamps.*
* 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.