Product Images Spironolactone
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Product Label Images
The following 6 images provide visual information about the product associated with Spironolactone NDC 71205-148 by Proficient Rx Lp, 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 prescription medicine named Spironolactone 100mg, supplied by Proficient Rx. The package contains 30 film-coated tablets with lot number and expiration date mentioned. The drug is manufactured by Intas Pharmaceuticals Limited, Ahmedabad-382 213 in Gujarat, India. The medicine has to be stored at a temperature of 20°-25°C (88°-77°F) and kept away from children.*
This is a description of Spironolactone 25mg tablet medication manufactured by Intas Pharmaceuticals Limited, Ahmedabad, India, and packaged by Proficient RxLP in Thousand Oaks, CA. The tablets come in a bottle of 30, are round and yellow, film-coated with an "AD" inscription on one side, and a faint peppermint odor. The medication should be stored at a temperature range of 20°-25°C (8°-77°F), kept away from the reach of children. The Master lot number is 00000, and the tablets have an NDC code of 71205-146-30. The GTIN number of the medication is 00371205146306, and it is available only through a prescription.*
This is a prescription drug with the name Spironolactone 50mg that comes in a bottle of 30 tablets with a unique SN# MASTER. Each tablet is light orange to orange colored, oval, biconvex, film-coated bearing the inscription *AE” on one side and a breakline on the other side with a faint peppermint odor. Spironolactone USP is the active ingredient that each film-coated tablet contains. The drug is manufactured by Intas Pharmaceuticals Limited and should be stored at 20°-25°C (68°-77°F). This general information can be used for educational purposes only and cannot substitute for medical advice.*
* 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.