Product Images Phentermine Hydrochloride

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Phentermine Hydrochloride NDC 17224-872 by Calvin Scott & Co., Inc., 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.

17224-872-21 - 17224 872 21

17224-872-21 - 17224 872 21

This is a prescription for Phentermine HCL 30mg in the form of 21 yellow capsules with instructions to take 1 capsule daily. The product is distributed by Calvin Scott & Co Inc. and has an expiration date of 12/31. The DEA number and manufactured NDC number are provided, but there is no name of the patient or the provider. The text includes a caution that the transfer of this drug to any person other than the patient for whom it was prescribed is prohibited by federal law.*

17224-872-28 - 17224 872 28

17224-872-28 - 17224 872 28

This appears to be a prescription label for Phentermine HCL capsules. The label provides directions for the medication, the quantity of capsules, the manufacturer and lot numbers, and the expiration date. It also indicates that the medication is only for the patient for whom it was prescribed due to federal laws.*

17224-872-42 - 17224 872 42

17224-872-42 - 17224 872 42

This is a prescription for Phentermine HCL 30mg, containing 42 yellow capsules. The prescription label includes the provider's name and address, phone number, DEA number, and directions for taking the medication. The label also contains the CSNDC and MFG NDC numbers, as well as an expiration date and lot number. The medication is distributed by Calvin Scot & Co Inc. and should not be transferred to any other person than the patient for whom it was prescribed.*

Chemical Structure - phentermine 01

Chemical Structure - phentermine 01

* 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.