0333102412458190.full
TRANSCRIPT
-
7/30/2019 0333102412458190.full
1/10
Original Article
Illicit drug use in cluster headachepatients and in the general population:A comparative cross-sectional survey
Paolo Rossi1,2, Marta Allena2,3, Cristina Tassorelli2,3,
Grazia Sances3, Cherubino Di Lorenzo4, Jessica V Faroni1 and
Giuseppe Nappi2,3,5
Abstract
Background: The rate of illicit drug use in cluster headache (CH) patients is unknown.Methods: Two hundred and ten CH patients (162 males and 48 females) attending two headache clinics provided infor-mation about their lifetime use (once or more in their lifetime, LTU), recent use (once or more in the past year, RU), andcurrent use (once or more in the past 30 days, CU) of illicit drugs. General population data (IPSAD Italia20072008)served as the control group.Results: LTU of each illicit drug but hallucinogens, RU of cannabis, cocaine, amphetamines and ecstasy, and CU of cannabisand cocaine were significantly higher in the male CH patients than in the general population, whereas no difference wasfound between the CH women and the controls. In the CH group, 28.5% of patients reported having used illicit drugs forthe first time after CH onset and 71.5% before CH onset. Compared with the controls, the male CH group showed agreater prevalence both of lifetime sustained intensive use of any illicit drug and of current intensive use of cannabis.Conclusion: The results of this study indicate that male CH patients are prone to overindulge in illicit drug use. This findingpossibly reflects a common biological susceptibility that predisposes these subjects to CH and to addictive behaviour.
Keywords
Cluster headache, headache, illicit drugs, cannabis, addiction, comorbidity
Date received: 17 September 2011; revised: 10 January 2012; 8 March 2012; 27 April 2012; accepted: 13 May 2012
Introduction
Investigation of psychiatric and psychological comor-
bidities in headache has focused far more on migraine
and tension-type headache than on cluster headache
(CH). High-quality studies in this field (that is, studies
including adequate CH patient and control groups and
using specific psychometric instruments or indicators)are lacking (1). Most of the hypotheses on personality
traits, psychological features and coping style in CH
patients, such as those which suggest that these individ-
uals are characterised by impulsiveness, aggressive
behaviour, emotional ability, anxiety and poor social
contacts, have not been validated by solid observa-
tional data (16).
To date, the abuse of tobacco in most CH patients is
the most consistent finding in this population. This
observation was documented by Kudrow in the early
1970s (7) in a small group of CH patients and
subsequently confirmed by other groups (8,9). More
recently, Manzoni investigated a large cohort 340
subjects of male CH patients and confirmed a very
high percentage of smokers among people with this
type of headache: 78.9% vs 35% in the general popu-
lation (POP), with chronic CH patients appearing more
1INI Grottaferrata, Italy2University Centre for Adaptive Disorders and Head Pain (UCADH),
Italy3Headache Science Centre, IRCCS C. Mondino National Institute of
Neurology Foundation and University of Pavia, Italy4Don Carlo Gnocchi Foundation ONLUS, Italy5Sapienza University of Rome, Italy
Corresponding author:
Paolo Rossi, INI Grottaferrata, via S. Anna snc 00046, Grottaferrata,
Rome 00046, Italy.
Email: [email protected]
Cephalalgia
0(0) 110
! International Headache Society 2012
Reprints and permissions:
sagepub.co.uk/journalsPermissions.nav
DOI: 10.1177/0333102412458190
cep.sagepub.com
-
7/30/2019 0333102412458190.full
2/10
inclined to smoke than episodic CH sufferers (10). The
high prevalence of chronic use of nicotine in CH has
also been confirmed in more recent studies, including
non-clinic-based populations of CH patients in differ-
ent countries (1113). The significance of this associ-
ation as regards the pathophysiology of CH is
unclear, with some authors considering nicotine apotential trigger factor and others hypothesising the
existence of a common genetic link predisposing
people to both CH and nicotine addiction (12,14).
Data on CH patients use of other non-illicit drugs
are more controversial than those relating to their
smoking. In Manzonis study, CH patients significantly
overused coffee and alcohol, too, which suggests that
they have a tendency to overindulge in certain lifestyle
behaviours (10). However, in a recent study by Schu rks
et al., conducted in Germany in a large clinic- and non-
clinic-based CH population, the CH patients proved
less likely than the general population to show hazard-
ous drinking behaviour (15). Since alcohol is a well-
known trigger of CH attacks during the active periods
of the disease, these findings may indicate the presence
of alcohol-avoidance behaviour in CH patients with
frequent attacks.
In a clinical descriptive study of chronic CH patients,
Donnet et al. reported that 26% of these patients were
regular cannabis consumers (16). However, the use of
illicit drugs in CH patients has never been investigated
systematically. Acquisition of data on the use of illicit
drugs in CH patients may be important in order to ascer-
tain whether these patients are prone to overindulge in
addictive behaviours.The aim of this study was to examine the rate of
illicit drug use in a clinic-based sample of CH patients
compared, in the same period of time, with POP data.
Patients and methods
This cross-sectional study included a primary well-char-
acterised study sample formed by CH patients and
POP data serving as comparison data.
Patient study sample
Consecutive patients aged between 18 and 65 years,
with CH diagnosed according to the International
Classification of Headache Disorders and attending
two headache centres (INI Grottaferrata and IRCCS
C. Mondino, Pavia) for a first or follow-up visit were
evaluated over an 18-month period (January 2007June
2008). Non-Italian patients were included only if they
had lived in Italy since before the age of 10 years. No
other specific inclusion criteria relating to either clinical
picture or socio-demographic profile were applied, and
we thus recruited all patients able to provide reliable
information about their headache history and undergo
other assessments relevant to the protocol. A total of
210 CH patients were recruited; the group included
162 males and 48 females.
All the patients gave their written informed consent
to their participation in the study, which had been
approved by the local ethics committee.
The POP comparison data: the Italian Population
Survey on Alcohol and Drugs (IPSAD)
The POP data used in this study were obtained from the
IPSADItalia 20072008. IPSAD is a yearly survey
monitoring alcohol, tobacco and drug consumption in
the general population and is consistent, in terms of
methods, with that carried out by the European
Monitoring Centre for Drugs and Drug Addiction
EMCDDA in several EU countries (17). The
IPSADItalia 20072008 sample was formed by
random selection of census data held by local councils
involved in the survey (18). The councils were selected to
ensure that all Italian regions and provinces were repre-
sented. The youngest age-classes were oversampled
(1519 years, 5 1000, 2025 years, 4.51000, 2529
years, 3 1000, 3034 years, 2.51000, 3539 years
and 4044 years 2 1000, 4549 years and 5054
years, 1.5 1000, 5559 years and 6064 years,
11000). Participation in the survey was voluntary,
anonymous and at no cost to the interviewee (the ques-
tionnaires investigating illicit drug use and other vari-
ables were returned in pre-paid envelopes). The study
had a responder rate of 35.1% with the final samplenumbering 10,940 subjects, including the 4757 males
and 6183 females comprising the POP group in our
study.
Table 1 summarises the socio-demographic profile of
the two groups (CH patients and POP).
The comparison data were obtained from open-
access publications (18) and, partly, from the National
Council of Research, Epidemiologic Unit, Pisa.
In Italy the use of cannabis, cocaine and opioids is
higher than the European average, especially in young
age classes, although it is similar to that observed in the
EU countries that are comparable to Italy for numberof inhabitants and other demographic and economic
variables (i.e. Spain, France, Germany and UK (18).
In contrast, the use of stimulants is lower than the
European average (18).
Data collection and definitions
Comprehensive information regarding socio-demo-
graphic status and smoking was obtained directly
from each patient. Information regarding headache
characteristics was obtained from each patients
2 Cephalalgia 0(0)
-
7/30/2019 0333102412458190.full
3/10
medical history and included CH subtype diagnosis
(episodic cluster headache (ECH) or chronic cluster
headache (CCH)), disease duration, age at onset of
CH, mean bout frequency, mean bout duration and
mean number of attacks per day.
Information regarding illicit drug use was obtainedby means of a short questionnaire filled in anonym-
ously and voluntarily by the patients at the end of
the visit.
The questionnaire included the EMCDDA core
items for assessing period prevalence of drug use in
the general population (17). In detail, it included ques-
tions about the patients use during the previous month
(last-30-days prevalence, often called current use
(CU)), during the previous year (last-12-months preva-
lence, often called recent use (RU)), and during their
lifetime (that is, any use during their lifetime (LTU)) of
several substances (cannabis, opioids, cocaine, ecstasy,amphetamines and hallucinogens). In accordance with
the EMCDDA guidelines, for each drug two basic
items (age at first use and frequency of use in the past
30 days) were included to investigate patterns of use,
which provide valuable insight into the incidence and
intensity of use and their correlates. Data regarding the
frequency of use in the previous 30 days were used to
identify current intensive users, defined as patients who,
in the previous 30 days, had used cannabis for 20 days
or more, or one or more of the other drugs for 10 days
or more. Moreover, in order to have, for each drug, an
additional measure of lifetime intensity of use, we asked
responders also to specify how many years they had
used the drug(s) intensively in their lifetime. Patients
presenting with intensive use of any illicit drug for
at least six months in their lifetime were defined as
sustained intensive users (SIUs).
Statistical analysis
Descriptive statistics (means, standard deviations (SD)
and proportions) were used to describe each variable.
Bivariate comparisons of groups were performed using
the Chi-square test and Fishers test (where applicable)
for categorical variables, the t-test for continuous
variables. The analyses were sex-matched for all
comparisons.
In order to find possible predictors of illicit drug use
in CH patients, a binary logistic regression analysis wasadopted. Three independent analyses were performed
by a backward conditional method to predict the
LTU, the RU and the CU of at least one of the illicit
drugs. In each model, as possible predictors we con-
sidered age, gender, educational level, occupational
status (student/employed/unemployed), economic
income, age at cluster onset, type of cluster (episodic/
chronic) and a measure of CH severity.
As a measure of severity, we considered the mean
number of headache attacks per year of disease
when analysing LTU; the number of CH attacks in
Table 1. Demographic characteristics of cluster headache (CH) patients and the general population sample (POP).
Males
p-value
Females
p-valueCH (n162) POP (n 4757) CH (n48) POP (n 6183)
Age (/%)
1524 12.3 32.20.05 27 25.8 >0.05
3544 30.8 22.1 0.05
4554 18.5 13.2 >0.05 8.2 13 >0.05
5564 7.4 6.9 >0.05 23.2 6.2* 0.05 34.7 51 >0.05
Married 52.6 48.8 >0.05 50 46,8 >0.05
Divorced 6.7 1.4 0.05*
Level of education (%)
Primary 3 1 >0.05* 2.2 2 >0.05*
Middle 34.5 44.8 >0.05 30.4 41.2 >0.05
Secondary 48 40.7 >0.05 54.4 42.4 >0.05
University or postgraduate degree 14.2 13.5 >0.05 13 14.4 >0.05
: Chi-square test with Yates correction; *: Fishers exact test.
Rossi et al. 3
-
7/30/2019 0333102412458190.full
4/10
the last 12 months when analysing RU; and the number
of attacks in the last month when analysing CU.
A level of p< 0.05 was considered significant.
Analysis was performed using SPSS for Windows,
version 11 (SPSS, Inc, Chicago, IL).
Results
Study population
Of the 224 CH patients recruited during the study
period, 210 (93.7%) agreed to participate in the study
(114 came from INI and 96 from the Pavia centre). All
but two were Caucasians and 98.1% were Italian.
Almost 83% of the patients had ECH, 13.4% had
CCH (females 10.8%, males 19.6%, Fishers test
p> 0.05) and 4% were newly diagnosed at the time of
the study (follow-up visits subsequently established a
diagnosis of ECH in all these cases). Ninety-one per
cent of patients were recruited during an active phase,
82.7% at a follow-up visit and 17.3% at a first visit. The
mean age at CH onset was 27.5 9.1 years (males
27.8 9.1, females 26.57.4, p> 0.05) and the mean
age at study enrolment was 41 years 10.8 (males
41.3 11.2, females 40.8 9.4, p>0.05). The ECH
patients recorded a mean bout frequency of 1.05 0.7
per year (males 1.2 0.58, females 0.92 0.4, t 11.3,
p< .005); their mean number of attacks per day was
2.15 1.3 (males 2.16 1.49, females 1.96 1.54,
p> 0.05), and their mean bout duration was 51.3 24
days (males 54.6 39.7, females 41.3 24, t 2.1,p< 0.05).
Compared with the POP group, the male CH group
included a significantly lower proportion of patients
in the age range 1524 years (12.3% vs 32.2%,
Chi-square 28.1, p0.05*
Ecstasy (%) 13.5 4.2 0.0001 4.1 2.1 >0.05*
Hallucinogens (%) 8.6 5 >0.05 4.1 2.3 >0.05*
Tobacco (%) 92.5 65.2
-
7/30/2019 0333102412458190.full
5/10
Conversely, in the CH females, no significant differ-
ences in LTU of any illicit drug were found (Table 2).
RU of illicit drugs
RU of cannabis, cocaine, amphetamines and ecstasy
was significantly higher in the CH males than inthe POP group (Table 3, cannabis 27.7% vs 17.3%,
Chi-square 9.7, p 0.05), heroin and cocaine
Table 3. Prevalence of recent use (RU, previous 12 months) of illicit drugs in cluster headache
(CH) patients and in the sex-matched general population (POP).
Drugs
Males
p-value
Females
p-value
CH
(n 162)
POP
(n4757)
CH
(n 48)
POP
(n 6183)
Cannabis (%) 27.7 17.3 0.001 14.5 12 >0.05
Opioids (%) 0 0.6 >0.05* 0 0.2 >0.05*
Cocaine (%) 8.6 2.9 0.0001 2.1 1.2 >0.05*
Amphetamines (%) 1.8 0.6 0.02* 2.1 0.3 >0.05*Ecstasy (%) 3 1 0.02* 2.1 0.4 >0.05*
Hallucinogens (%) 0.6 1 >0.05* 0 0.4 >0.05*
Tobacco (%) 86.4 37.9 0.05* 0 0.2 >0.05*
Cocaine 4.3 1.1 0.0005 0 0.7 >0.05*
Amphetamines 0 0.3 >0.05* 0 0.1 >0.05*
Ecstasy 0 0.3 >0.05* 0 0.2 >0.05*
Hallucinogens 0 0.2 >0.05* 0 0.1 >0.05*
Tobacco 80.2 31.9
-
7/30/2019 0333102412458190.full
6/10
(0% vs 11%, Fishers test p> 0.05) and in the CH
female group (Fishers test, all p> 0.05).
Age at first use of illicit drugs
The age at first use of cannabis was significantly lower
in the male CH patients than in the POP subjects
(16.8 4.2 vs 18.4 5.2 years, t3.87, p< 0.001), as
was the age at first use of cocaine (18.65.3 years vs
22 4.9 years, t3.5, p 0.05). Table 6
Current intensive use of illicit drugs
The rate of current intensive use of cannabis was
significantly higher in the male CH patients (11.2%)
than in the POP group (2.19%, Chi-square53.2,
p< 0.001). No significant difference was found in cur-
rent intensive use of other illicit drug (cocaine, CH
1.6% vs POP 0.2%, Fishers test p> 0.05; opioids,
CH 0% vs POP 0.13%, Fishers test p>
0.05; amphet-amines/ecstasy, CH 0% vs POP 0.05%, Fishers test
p> 0.05; hallucinogens, CH 0% vs POP 0.07%,
Fishers test p> 0.05). In the CH females, no significant
difference was found in the prevalence of current inten-
sive use of any of the illicit drugs surveyed (cannabis,
CH 2.1% vs POP 1.8%, Fishers test p>0.05; cocaine,
CH 0% vs POP 0.1%, Fishers test p>0.05; opioids
CH 0% vs POP 0.05%, Fishers test p> 0.05; amphet-
amines/ecstasy, CH 0% vs POP 0.03%, Fishers test
p> 0.05; hallucinogens, CH 0% vs POP 0.03%,
Fishers test p> 0.05).
Lifetime sustained intensive use
The prevalence of lifetime SIU of any illicit drug was
significantly higher in the CH males (22.8%) than in the
POP group (4.8%, Chi-square108, p< 0.0001). In the
women with CH no significant difference was found
in the prevalence of SIU (5.2% vs 1.7%, Fishers test
p>0.05).
Episodic vs chronic CH and patients in active
phase vs patients in remission phase
No significant difference was found between the ECH
and CCH patients in any of the illicit drug use param-
eters considered, or in current use of cigarettes (CCH
80.5% vs ECH 73.1%, p> 0.05).
In the same way no significant difference was found
in any of the illicit drug use parameters betweenthe 189 patients investigated in the active phase and
the 21 patients in remission phase (Fishers test, all
p>0.05).
SIU versus non-intensive users with CH
The age at onset of CH in the male SIUs was signifi-
cantly lower than in the non-intensive users (24.3 9.1
vs 2911.6, t 2.35, p< 0.05), while bout frequency in
these subjects was higher than in the non-intensive
users (1.4 0.7 vs 10.6, t3.5, p< 0.001). No signifi-
cant difference was found in bout duration, attack fre-quency, attack duration or rates of CCH (t-test, all
p>0.05). In female SIUs with CH no difference was
found versus non-intensive users in any of the clinical
parameters considered (t-test all, p> 0.05).
Age-matched prevalence of illicit drug use in males
Because age is an important determinant of levels of
illicit drug use, data regarding the prevalence of illicit
drug use in males have been analysed by age-classes.
In the age group 2534 years, LTU of amphetamines
Table 5. Age at first use of illicit drugs (data are presented as mean age in years and SD) in cluster headache (CH) patients and
in the sex-matched general population (POP).
Males
p-value
Females
p-valueCH POP CH POP
Cannabis 16.8 (4.2) 18.4 (5.2) 0.05
Cocaine 18.6 (5.3) 22 (4.9) 0.0005 23.2 (7.1) 23.5 (4.8) >0.05
Opioids 17.5 (2) 20.8 (4.7) 0.03 22.1 (3.8) 22.2 (4.4) >0.05
Amphetamines/ecstasy 19.6 (2.8) 20 (4) >0.05 20.5 (3.2) 21.6 (4.2) >0.05
: t-test.
6 Cephalalgia 0(0)
-
7/30/2019 0333102412458190.full
7/10
(Chi-square 5.87, p0.01) and ecstasy (Chi-
square7.8, p
-
7/30/2019 0333102412458190.full
8/10
increased rates of occasional, sustained and regular use
of illicit drugs, mainly cannabis and cocaine, whereas
CH women did not show similar addictive behaviour.
As expected, tobacco use was significantly higher in CH
males and females than in the POP sample.
The finding of gender-related differences in illicit
drug use needs to be interpreted cautiously, since itpossibly reflects methodological problems, i.e. the
small sample size that does not allow an age-matched
comparison and limits the statistical power necessary to
disclose significant differences and the use of data
obtained from very skewed samples. However, under
these premises, it may be hypothesised that gender-
related differences in illicit drug use is related to a
more attenuated clinical expression of CH in women.
Indeed, in our study bout frequency and bout duration
were both significantly lower in the women than in the
men, and isolated clinical descriptive studies from the
literature have indicated that women with CH may not
show exactly the same clinical and epidemiological
characteristics as men with CH (1921). Thus, in men,
the phenotypic expression of CH may be accompanied
by comorbid addictive behaviour leading to illicit drug
use. Further studies including a greater number of
female patients are necessary to better define the
gender-related differences in CH clinical expression
and comorbidity.
The cross-sectional design of this study precludes def-
inite assumptions of causality between CH and addictive
behaviour in males. For example, we cannot exclude the
possibility that exposure to illicit drugs and/or nicotine
is a factor triggering the development of CH (22).However, the marked differences in the neuropharma-
cological properties of the different drugs of addiction
and the observation that almost 30% of CH patients
started to use illicit drugs after CH onset make this
hypothesis unlikely. Alternatively, the use of illicit
drugs may constitute an attempt to manage CH-related
discomfort. Indeed almost 30% of CH patients reported
that they first started using illicit drugs after CH onset,
and illicit drugs may have some effect on CH symptoms
(2325). It has been well established that CH is often
misdiagnosed, undertreated and mismanaged
(11,13,26). Web sites devoted to CH actively promotetherapeutic use of illicit drugs, and, by doing so, they
possibly create or reinforce a specific interest in and
demand for these drugs for CH (27). However, it
appears an unlikely explanation because the majority
of CH patients started to use illicit drugs before CH
onset, not all illicit drugs have the potential to improve
CH symptoms and no difference in illicit drug use was
found either between CCH and ECH, or between CH
patients in active and remission phase.
The most likely hypothesis is that male CH patients
are prone to overindulge in addictive behaviours (both
tobacco and illicit drug use), possibly because of a
common biological susceptibility that predisposes
them to both CH and addiction. According to this
line of reasoning, it is noteworthy that in our sample,
the age at first use of cannabis, cocaine and opioids was
significantly lower in the male CH patients than in the
control group. Recent research on addiction suggeststhat age at first use of addictive substances is genetically
influenced and linked to more severe addictive behav-
iour (28,29). Thus, our finding might indicate that male
CH patients have a more marked genetic predisposition
to try addictive substances. Consistent with this
hypothesis is the finding that current intensive use of
cannabis and sustained intensive use of any illicit drug
were more prevalent in CH males than in controls.
The neuropeptide orexin (also known as hypocretin)
has recently been implicated in both drug addiction (30)
and CH susceptibility (3133) and thus emerges as a
potential candidate to explain the present findings.
Several possible limitations of this study preclude the
drawing of definite conclusions regarding some aspects
of illicit drug use in CH patients. First, as recom-
mended by the EMCDDA, in order to overcome a
birth cohort effect and differences in the age profile of
the CH patients and general population, the measures
of illicit drug use would have been better analysed by
age groups. Unfortunately, on account of the low
prevalence of CH and the difficulty in recruiting a
large sample of CH patients within the study period,
this analysis could not be performed in women. In men,
the study lacked the statistical power necessary to dis-
close significant differences in the use of less prevalentdrugs and in age groups including fewer subjects.
Indeed, due to the combined effect of age at onset of
CH (infrequent in the second decade), the time of spe-
cialist consultation and diagnosis (usually delayed by
several years in relation to CH onset), and oversam-
pling of the youngest age-classes in the POP, young
subjects were under-represented in the male CH
group, whereas those aged 3544 years were over-repre-
sented. Similarly, due to the presence of two peaks of
onset in CH in women (third and sixth decade) and
oversampling of the youngest age-classes in the POP,
young subjects were under-represented and older sub-jects over-represented in the female CH sample. Since
illicit drug use decreases with age, the differences in the
age profile of the CH and POP groups might have
resulted in underestimation of the differences in illicit
drug use parameters, especially in the female groups.
Unfortunately, we could not adopt a regression-based
approach using age as a covariate that would have been
more appropriate for the unavailability of the database
regarding the POP survey.
The second limitation is that especially in women the
comparisons between samples was too skewed, so there
8 Cephalalgia 0(0)
-
7/30/2019 0333102412458190.full
9/10
is a much larger sample in the POP data versus CH.
This calls into question the validity of the results with
respect to gender differences.
The third limitation is that, since the patient sample
was selected in a headache centre setting, our results
cannot be applied to the CH population as a whole.
Fourth, the study used self-reported data on sub-stance use without the possibility of verifying in an
objective manner the answers to the survey questions.
Considering the nature of the survey, it may have led to
an under-reporting of illicit drug use even if literature
data suggest that if anonymity and confidentiality are
protected, as in our study, peoples self-reporting of
illicit drug is a reliable method (34).
Fifth, since illicit drug use differs in different geo-
graphical areas, ideally the controls should have been
selected from the same geographical region as the CH
cases. However, the CH patients enrolled in the two
participating centres came from 12 of Italys 20 admin-
istrative regions (and 39 of its 100 provinces). Thus,
the use of data from a control group representative of
the national population represented the best possible
compromise.
Sixth, possibly due to the nature of the topic of the
survey, as well as the method with which the data were
gathered, the response rate obtained in the general
population, 35.1%, may result in an information dis-
tortion in the collected data. In fact it may be hypoth-
esised that the non-respondent group may be engaged
in a much heavier use of drugs (in which case the data
gathered would underestimate the issue), or that, on the
other hand, drug users took advantage of the anonym-ous nature of the survey to participate in it and
thus affirm their drug use (in which case, the data gath-
ered would be inflated). The former hypothesis is the
more likely one, even if there is no clear evidence to
support it (18).
Finally, we did not investigate the role of genetic,
psychological (e.g. victimization, psychiatric comorbid-
ity), social (e.g. disadvantaged familial and social net-
work), economic (e.g. low income) and specific
situational factors potentially influencing drug use (35).
Further studies including larger non-clinic-based
populations of CH patients and exploring socio-environmental and neurobiological factors are neces-
sary to better understand the nature of the association
between cluster headache and addictive behaviour.
Funding
Funded by the Ministry of Health to IRRCS Mondino
Institute Current Research for 2009-2011 triennium.
Conflict of interest statement
None declared.
References
1. Markley HG and Buse DC. Cluster headache: Myths
and the evidence. Curr Pain Headache Rep 2006; 10:
137141.
2. Mitsikostas DD and Thomas AM. Comorbidity of head-
ache and depressive disorders. Cephalalgia 1999; 19:
211217.3. Mueller I, Gallagher RM, Steer RA, et al. Increased
prevalence of sensing types in men with cluster headache.
Psychol Rep 2000; 87: 555558.
4. Levi R, Edman GV, Ekbom K, et al. Episodic cluster
headache. I: Personality and some neuropsychological
characteristics in male patients. Headache 1992; 32:
119125.
5. Pfaffenrath V, Hummelsberger I, Po llmann W, et al.
MMPI personality profile in patients with primary head-
ache syndromes. Cephalalgia 1991; 11: 263268.
6. Torelli P and Manzoni GC. Behavior during cluster head-
ache. Curr Pain Headache Rep 2005; 9: 113119.
7. Kudrow L. Physical and personality characteristics in
cluster headache. Headache 1974; 13: 197202.
8. Levi R, Edman GV, Ekbom K, et al. Episodic cluster
headache. II: High tobacco and alcohol consumption in
males. Headache 1992; 32: 184187.
9. Nappi G and Italian Cooperative Study Group on the
Epidemiology of Cluster Headache (ICECH). Case-con-
trol study on the epidemiology of cluster headache. I:
Etiological factors and associated conditions.
Neuroepidemiology 1995; 14: 123127.
10. Manzoni GC. Cluster headache and lifestyle: Remarks on
a population of 374 male patients. Cephalalgia 1999; 19:
8894.
11. Bahra A, May A and Goadsby PJ. Cluster headache: A
prospective clinical study with diagnostic implications.Neurology 2002; 58: 354361.
12. Schu rks M, Kurth T, de Jesus J, et al. Cluster headache:
Clinical presentation, lifestyle features, and medical treat-
ment. Headache 2006; 46: 12461254.
13. Rozen TD and Fishman RS. Cluster headache in the
United States of America: Demographics, clinical char-
acteristics, triggers, suicidality, and personal burden.
Headache 2012; 52: 99113.
14. May A. Cluster headache: Pathogenesis, diagnosis, and
management. Lancet 2005; 366: 843855.
15. Schu rks M, Kurth T, Knorn P, et al. Predictors of haz-
ardous alcohol consumption among patients with cluster
headache. Cephalalgia 2006; 26: 623627.
16. Donnet A, Lanteri-Minet M, Guegan-Massardier E,
et al. Chronic cluster headache: A French clinical descrip-
tive study. J Neurol Neurosurg Psychiatry 2007; 78:
13541358.
17. European Monitoring Centre for Drugs and Addiction.
An overview of the general populations survey (GPS) key
indicator. EMCDDA, Lisbon, January 2009, http://
www.emcdda.europa.eu/publications/methods/gps-
overview (2009, accessed May 2010).
18. Istituto Superiore di Sanita` . http://www.iss.it/binary/
ssps/cont/0508_Relazione_tossicodipendenze_2007
1214834103.1227544359.pdf (accessed April 2010).
Rossi et al. 9
-
7/30/2019 0333102412458190.full
10/10
19. Peatfield RC, Petty RG and Rose FC. Cluster headache
in women. Cephalalgia 1982; 2: 171172.
20. Rozen TD, Niknam RM, Shechter AL, et al. Cluster
headache in women: Clinical characteristics and compari-
son with cluster headache in men. J Neurol Neurosurg
Psychiatry 2001; 70: 613617.
21. Broner SW, Sun-Edelstein C and Lay CL. Cluster head-
ache in women. Curr Pain Headache Rep 2007; 11:127130.
22. Rozen TD. Cluster headache as the result of secondhand
cigarette smoke exposure during childhood. Headache
2010; 50: 130132.
23. Robbins MS, Tarshish S, Solomon S, et al. Cluster
attacks responsive to recreational cannabis and dronabi-
nol. Headache 2009; 49: 914916.
24. Karst M, Halpern JH, Bernateck M, et al. The non-hal-
lucinogen 2-bromo-lysergic acid diethylamide as pre-
ventative treatment for cluster headache: An open, non-
randomized case series. Cephalalgia 2010; 30: 11401144.
25. Costa A, Pucci E, Antonaci F, et al. The effect of intra-
nasal cocaine and lidocaine on nitroglycerin-inducedattacks in cluster headache. Cephalalgia 2000; 20: 8591.
26. Bahra A and Goadsby PJ. Diagnostic delays and mis-
management in cluster headache. Acta Neurol Scand
2004; 109: 175182.
27. Sewell RA, Halpern JH and Pope HG. Response of clus-
ter headache to psilocybin and LSD. Neurology 2006; 66:
19201922.
28. Refnar T, Esko T, Walter S, et al. Sequence variants at
CHRNB3-CHRNA6 and CYP2A6 affect smoking
behavior. Nat Genet 2010; 42: 448453.
29. Ehlers CL, Gizer IR, Vieten C, et al. Cannabis depend-
ence in the San Francisco Family Study: Age of onset of
use, DSMIV symptoms, withdrawal, and heritability.
Addict Behav 2010; 35: 102110.
30. Martin TJ and Ewan E. Chronic pain alters drug self-administration: Implication for addiction and pain mech-
anisms. Exp Clin Psychopharmacol 2008; 16: 357366.
31. Harris GC, Wimmer M and Aston-Jones G. A role for
the lateral hypothalamic orexin neurons in reward seek-
ing. Nature 2005; 437: 556559.
32. Holland PR and Goadsby PJ. Cluster headache, hypo-
thalamus, and orexin. Curr Pain Headache Rep 2009; 13:
147154.
33. Rainero I, Gallone S, Valfre` W, et al. A polymorphism of
the hypocretin receptor 2 gene is associated with cluster
headache. Neurology 2004; 63: 12861288.
34. Harrison LD, Martin SS, Enev T, et al. Comparing
drug testing and self-report of drug use amongyouths and young adults in the general population,
http://www.samhsa.gov/data/nsduh/drugtest.pdf (2007,
accessed March 2012).
35. Galea S, Nandi A and Vlahov D. The social epidemi-
ology of substance use. Epidemiologic Rev 2004; 26:
3652.
10 Cephalalgia 0(0)