Monthly Aggregated Rapid Detox Treatment Data – January 2016

Our primary focus at Rapid Detox by the Waismann Method® is providing the safest and most thorough anesthesia assisted rapid detoxification from all opioids. We treat patients from across age groups and around the world. Below are some of the anonymized monthly statistics of patients we have recently treated in January 2016.

Drugs Detoxed

Opioids come in many forms and under various names.

Approximately 45% of the drugs we have detoxed recently, were oxycodone-based opioids: Oxycodone, OxyContin, and Percocet. OxyContin is a trade name for Oxycodone. Percocet is a trade name for the Oxycodone and Acetaminophen.

The replacement drugs, Methadone and Suboxone, together accounted for about 17% of the drugs detoxed at the same period.

For over 25 years, people from all over the world have chosen Waismann Method as their opioid detox provider.

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Coming in at 13% were Hydrocodone-based drugs, such as Vicodin. Vicodin is Hydrocodone and Acetaminophen.

About 17% came from poppy-based opioids, otherwise known as the opiates Morphine and Heroin.

Lastly, about 4% of drugs detoxed were Dilaudid, known generically as hydromorphone.

Aggregated Data - Drugs Detoxed - 2016 01

Travel

Two-thirds of our patients traveled from out state seeking our exclusive treatment center in California. Suffice it to say, one-third of our patients were from within California.

Aggregated Data - Travel 2016 01

Length of Stay

Nearly all our patients stayed with us for 7-9 days. Less than 7% stayed with us for 10-14 days. The length of stay is determined by our medical director, based on each patient’s individual circumstances, including but not limited to: age, drugs taken, medical history, and overall health.

Aggregated Data - Length of Stay 2016-01

Age

We treat patients from across various age groups. For the month of January, more than 50% of our patients were between the ages of 40-49 years. 20% of our patients were between the ages of 22-29 years. Coming in respectively at 13.3% were the age groups 30-39 and 50-64 respectively.

Aggregated Data - Age - 2016 01